Shimon Whiteson

324 papers A* 79A 50B 1C 4Misc 4Journal 158Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Drive in New Cities Without Human Demonstrations. CoRR Zilin Wang, Saeed Rahmani, Daphne Cornelisse, Bidipta Sarkar, Alexander David Goldie, Jakob Nicolaus Foerster, Shimon Whiteson
2026	J	`jnl`	Procedural Generation of Algorithm Discovery Tasks in Machine Learning. CoRR Alexander David Goldie, Zilin Wang, Adrian Hayler, Deepak Nathani, Edan Toledo, Ken Thampiratwong, Aleksandra Kalisz, Michael Beukman, Alistair Letcher, Shashank Reddy, Clarisse Wibault, Theo Wolf, Charles O'Neill, Uljad Berdica, Nicholas Roberts, Saeed Rahmani, Hannah Erlebach, Roberta Raileanu, Shimon Whiteson, Jakob N. Foerster
2025	J	`jnl`	A Clean Slate for Offline Reinforcement Learning. CoRR Matthew Thomas Jackson, Uljad Berdica, Jarek Liesen, Shimon Whiteson, Jakob Nicolaus Foerster
2025	J	`jnl`	A Survey of In-Context Reinforcement Learning. CoRR Amir Moeini, Jiuqi Wang, Jacob Beck, Ethan Blaser, Shimon Whiteson, Rohan Chandra, Shangtong Zhang
2025	J	`jnl`	A Tutorial on Meta-Reinforcement Learning. Found. Trends Mach. Learn. Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
2025	J	`jnl`	Evolution Strategies at the Hyperscale. CoRR Bidipta Sarkar, Mattie Fellows, Juan Agustin Duque, Alistair Letcher, Antonio León Villares, Anya Sims, Dylan Cope, Jarek Liesen, Lukas Seier, Theo Wolf, Uljad Berdica, Alexander David Goldie, Aaron C. Courville, Karin Sevegnani, Shimon Whiteson, Jakob Nicolaus Foerster
2025	J	`jnl`	GoalLadder: Incremental Goal Discovery with Vision-Language Models. CoRR Alexey Zakharov, Shimon Whiteson
2025	J	`jnl`	How Should We Meta-Learn Reinforcement Learning Algorithms? CoRR Alexander David Goldie, Zilin Wang, Jakob Nicolaus Foerster, Shimon Whiteson
2025	J	`jnl`	HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks. CoRR Zheng Xiong, Kang Li, Zilin Wang, Matthew Thomas Jackson, Jakob N. Foerster, Shimon Whiteson
2025	A	`conf`	IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving. IROS Clémence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2024	J	`jnl`	A Bayesian Solution To The Imitation Gap. CoRR Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson
2024	A*	`conf`	Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps. NeurIPS Benjamin Ellis, Matthew Thomas Jackson, Andrei Lupu, Alexander David Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster
2024	J	`jnl`	Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps. CoRR Benjamin Ellis, Matthew Thomas Jackson, Andrei Lupu, Alexander David Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster
2024	A*	`conf`	Bayesian Exploration Networks. ICML Mattie Fellows, Brandon Kaplowitz, Christian Schröder de Witt, Shimon Whiteson
2024	A*	`conf`	Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob N. Foerster
2024	J	`jnl`	Can Learned Optimization Make Reinforcement Learning Less Difficult? CoRR Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster
2024	A*	`conf`	Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024	J	`jnl`	Discovering Temporally-Aware Reinforcement Learning Algorithms. CoRR Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert T. Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024	A*	`conf`	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. ICML Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	J	`jnl`	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	J	`jnl`	IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving. CoRR Clémence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2024	A	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	J	`jnl`	Policy-Guided Diffusion. RLJ Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob Nicolaus Foerster
2024	J	`jnl`	Policy-Guided Diffusion. CoRR Matthew Thomas Jackson, Michael T. Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob N. Foerster
2024	Misc	`conf`	Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. CoRL Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2024	J	`jnl`	Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. CoRR Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2024	J	`jnl`	SplAgger: Split Aggregation for Meta-Reinforcement Learning. RLJ Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2024	J	`jnl`	SplAgger: Split Aggregation for Meta-Reinforcement Learning. CoRR Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2024	A*	`conf`	UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios. ICRA Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, João V. Messias, Shimon Whiteson
2024	J	`jnl`	UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios. CoRR Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, João V. Messias, Shimon Whiteson
2023	J	`jnl`	A Survey of Meta-Reinforcement Learning. CoRR Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
2023	J	`jnl`	Bayesian Exploration Networks. CoRR Mattie Fellows, Brandon Kaplowitz, Christian Schröder de Witt, Shimon Whiteson
2023	A*	`conf`	Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning. ICLR Yat Long Lo, Christian Schröder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
2023	J	`jnl`	Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning. CoRR Yat Long Lo, Christian Schröder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
2023	A*	`conf`	Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2023	J	`jnl`	Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
2023	A	`conf`	Hierarchical Imitation Learning for Stochastic Environments. IROS Maximilian Igl, Punit Shah, Paul Mougin, Sirish Srinivasan, Tarun Gupta, Brandyn White, Kyriacos Shiarlis, Shimon Whiteson
2023	J	`jnl`	Hierarchical Imitation Learning for Stochastic Environments. CoRR Maximilian Igl, Punit Shah, Paul Mougin, Sirish Srinivasan, Tarun Gupta, Brandyn White, Kyriacos Shiarlis, Shimon Whiteson
2023	A	`conf`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
2023	A*	`conf`	Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. NeurIPS Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2023	J	`jnl`	Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. CoRR Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2023	A*	`conf`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2023	A*	`conf`	The Waymo Open Sim Agents Challenge. NeurIPS Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023	J	`jnl`	The Waymo Open Sim Agents Challenge. CoRR Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023	A	`conf`	Trust Region Bounds for Decentralized PPO Under Non-stationarity. AAMAS Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
2023	J	`jnl`	Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson
2023	A*	`conf`	Universal Morphology Control via Contextual Modulation. ICML Zheng Xiong, Jacob Beck, Shimon Whiteson
2023	J	`jnl`	Universal Morphology Control via Contextual Modulation. CoRR Zheng Xiong, Jacob Beck, Shimon Whiteson
2023	A*	`conf`	Why Target Networks Stabilise Temporal Difference Methods. ICML Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson
2022	A	`conf`	A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. AAMAS Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
2022	J	`jnl`	An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. CoRR Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar
2022	A*	`conf`	Communicating via Markov Decision Processes. ICML Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster
2022	A*	`conf`	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. AAAI Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	Misc	`conf`	Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. CoRL Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022	J	`jnl`	Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. CoRR Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022	A*	`conf`	Equivariant Networks for Zero-Shot Coordination. NeurIPS Darius Muglich, Christian Schröder de Witt, Elise van der Pol, Shimon Whiteson, Jakob N. Foerster
2022	J	`jnl`	Equivariant Networks for Zero-Shot Coordination. CoRR Darius Muglich, Christian Schröder de Witt, Elise van der Pol, Shimon Whiteson, Jakob N. Foerster
2022	J	`jnl`	Generalization in Cooperative Multi-Agent Systems. CoRR Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
2022	A*	`conf`	Generalized Beliefs for Cooperative AI. ICML Darius Muglich, Luisa M. Zintgraf, Christian A. Schröder de Witt, Shimon Whiteson, Jakob N. Foerster
2022	J	`jnl`	Generalized Beliefs for Cooperative AI. CoRR Darius Muglich, Luisa M. Zintgraf, Christian Schröder de Witt, Shimon Whiteson, Jakob N. Foerster
2022	A	`conf`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022	J	`jnl`	Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022	Misc	`conf`	Hypernetworks in Meta-Reinforcement Learning. CoRL Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2022	J	`jnl`	Hypernetworks in Meta-Reinforcement Learning. CoRR Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2022	J	`jnl`	Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2022	A*	`conf`	In Defense of the Unitary Scalarization for Deep Multi-Task Learning. NeurIPS Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda
2022	J	`jnl`	In Defense of the Unitary Scalarization for Deep Multi-Task Learning. CoRR Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar
2022	—	`conf`	Learning Skills Diverse in Value-Relevant Features. CoLLAs Matthew J. A. Smith, Jelena Luketina, Kristian Hartikainen, Maximilian Igl, Shimon Whiteson
2022	J	`jnl`	Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. CoRR Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	Misc	`conf`	Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. CoRL Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson
2022	J	`jnl`	Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. CoRR Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson
2022	J	`jnl`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. CoRR Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2022	A*	`conf`	Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. ICRA Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022	J	`jnl`	Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. CoRR Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022	J	`jnl`	Truncated Emphatic Temporal Difference Methods for Prediction and Control. J. Mach. Learn. Res. Shangtong Zhang, Shimon Whiteson
2022	J	`jnl`	You May Not Need Ratio Clipping in PPO. CoRR Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson
2021	J	`jnl`	Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2021	A*	`conf`	Average-Reward Off-Policy Policy Evaluation with Function Approximation. ICML Shangtong Zhang, Yi Wan, Richard S. Sutton, Shimon Whiteson
2021	J	`jnl`	Average-Reward Off-Policy Policy Evaluation with Function Approximation. CoRR Shangtong Zhang, Yi Wan, Richard S. Sutton, Shimon Whiteson
2021	A*	`conf`	Bayesian Bellman Operators. NeurIPS Mattie Fellows, Kristian Hartikainen, Shimon Whiteson
2021	J	`jnl`	Bayesian Bellman Operators. CoRR Matthew Fellows, Kristian Hartikainen, Shimon Whiteson
2021	A*	`conf`	Breaking the Deadly Triad with a Target Network. ICML Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
2021	J	`jnl`	Breaking the Deadly Triad with a Target Network. CoRR Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
2021	A	`conf`	Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. AAMAS Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
2021	J	`jnl`	Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. CoRR Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
2021	A*	`conf`	Deep Residual Reinforcement Learning (Extended Abstract). IJCAI Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2021	J	`jnl`	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. CoRR Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2021	A*	`conf`	Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. ICML Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
2021	A*	`conf`	FACMAC: Factored Multi-Agent Centralised Policy Gradients. NeurIPS Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2021	A	`conf`	Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. AAMAS Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung
2021	J	`jnl`	Implicit Communication as Minimum Entropy Coupling. CoRR Samuel Sokota, Christian Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Shimon Whiteson, Jakob N. Foerster
2021	A*	`conf`	Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. AAAI Shangtong Zhang, Bo Liu, Shimon Whiteson
2021	J	`jnl`	Model based Multi-agent Reinforcement Learning with Tensor Decompositions. CoRR Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson
2021	A*	`conf`	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. ICLR Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
2021	J	`jnl`	On the Practical Consistency of Meta-Reinforcement Learning Algorithms. CoRR Zheng Xiong, Luisa M. Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson
2021	A*	`conf`	RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2021	A*	`conf`	Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. ICML Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha
2021	A*	`conf`	Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2021	J	`jnl`	Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2021	J	`jnl`	Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization. Mach. Learn. Sci. Technol. Dmitrii Beloborodov, Alexander E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky
2021	J	`jnl`	Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients. CoRR Bozhidar Vasilev, Tarun Gupta, Bei Peng, Shimon Whiteson
2021	J	`jnl`	Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing. CoRR Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson
2021	A*	`conf`	Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing. NeurIPS Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson
2021	J	`jnl`	SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson
2021	J	`jnl`	Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2021	A*	`conf`	Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2021	J	`jnl`	Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2021	A*	`conf`	Transient Non-stationarity and Generalisation in Deep Reinforcement Learning. ICLR Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2021	J	`jnl`	Truncated Emphatic Temporal Difference Methods for Prediction and Control. CoRR Shangtong Zhang, Shimon Whiteson
2021	A*	`conf`	UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. ICML Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2021	J	`jnl`	VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning. J. Mach. Learn. Res. Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson
2020	J	`jnl`	A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
2020	J	`jnl`	AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. CoRR Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha
2020	A*	`conf`	Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? NeurIPS Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro
2020	A*	`conf`	Deep Coordination Graphs. ICML Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson
2020	J	`jnl`	Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. CoRR Christian Schröder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Böhmer, Shimon Whiteson
2020	A	`conf`	Deep Residual Reinforcement Learning. AAMAS Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Expected Policy Gradients for Reinforcement Learning. J. Mach. Learn. Res. Kamil Ciosek, Shimon Whiteson
2020	J	`jnl`	Exploiting Submodular Value Functions For Scaling Up Active Perception. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
2020	J	`jnl`	Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. CoRR Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
2020	J	`jnl`	Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. CoRR Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung
2020	J	`jnl`	Facial feedback for reinforcement learning: a case study and offline analysis using the TAMER framework. Auton. Agents Multi Agent Syst. Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung
2020	A*	`conf`	GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. ICML Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	J	`jnl`	GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. CoRR Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	A*	`conf`	Growing Action Spaces. ICML Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
2020	J	`jnl`	Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? CoRR Christian Schröder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson
2020	A*	`conf`	Learning Retrospective Knowledge with Reverse Reinforcement Learning. NeurIPS Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
2020	J	`jnl`	Learning Retrospective Knowledge with Reverse Reinforcement Learning. CoRR Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
2020	J	`jnl`	Maximizing Information Gain in Partially Observable Environments via Prediction Reward. CoRR Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	A	`conf`	Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. AAMAS Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	A	`conf`	Multitask Soft Option Learning. UAI Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. CoRR Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
2020	A*	`conf`	Optimistic Exploration even with a Pessimistic Initialisation. ICLR Tabish Rashid, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Optimistic Exploration even with a Pessimistic Initialisation. CoRR Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson
2020	J	`jnl`	Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. CoRR Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	J	`jnl`	Privileged Information Dropout in Reinforcement Learning. CoRR Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal M. P. Behbahani, Wendelin Boehmer, Shimon Whiteson
2020	A*	`conf`	Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation. ICML Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2020	J	`jnl`	RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2020	J	`jnl`	Real-Time Resource Allocation for Tracking Systems. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2020	J	`jnl`	Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization. CoRR Dmitrii Beloborodov, Alexander E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky
2020	J	`jnl`	Robust Reinforcement Learning with Bayesian Optimisation and Quadrature. J. Mach. Learn. Res. Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
2020	J	`jnl`	The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning. CoRR Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. CoRR Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson
2020	A*	`conf`	VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. ICLR Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2020	A*	`conf`	Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. NeurIPS Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
2020	J	`jnl`	Weighted QMIX: Expanding Monotonic Value Function Factorisation. CoRR Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
2020	J	`jnl`	WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
2019	A*	`conf`	A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
2019	A*	`conf`	A Survey of Reinforcement Learning Informed by Natural Language. IJCAI Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
2019	J	`jnl`	A Survey of Reinforcement Learning Informed by Natural Language. CoRR Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
2019	A*	`conf`	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. ICML Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2019	A*	`conf`	DAC: The Double Actor-Critic Architecture for Learning Options. NeurIPS Shangtong Zhang, Shimon Whiteson
2019	J	`jnl`	DAC: The Double Actor-Critic Architecture for Learning Options. CoRR Shangtong Zhang, Shimon Whiteson
2019	J	`jnl`	Deep Coordination Graphs. CoRR Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson
2019	J	`jnl`	Deep Residual Reinforcement Learning. CoRR Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019	J	`jnl`	Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning. CoRR Wendelin Böhmer, Tabish Rashid, Shimon Whiteson
2019	A*	`conf`	Fast Context Adaptation via Meta-Learning. ICML Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
2019	A*	`conf`	Fast Efficient Hyperparameter Tuning for Policy Gradient Methods. NeurIPS Supratik Paul, Vitaly Kurin, Shimon Whiteson
2019	J	`jnl`	Fast Efficient Hyperparameter Tuning for Policy Gradients. CoRR Supratik Paul, Vitaly Kurin, Shimon Whiteson
2019	A*	`conf`	Fingerprint Policy Optimisation for Robust Reinforcement Learning. ICML Supratik Paul, Michael A. Osborne, Shimon Whiteson
2019	A*	`conf`	Generalized Off-Policy Actor-Critic. NeurIPS Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019	J	`jnl`	Generalized Off-Policy Actor-Critic. CoRR Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019	J	`jnl`	Growing Action Spaces. CoRR Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
2019	J	`jnl`	Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning. CoRR Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro
2019	A*	`conf`	Learning From Demonstration in the Wild. ICRA Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson
2019	J	`jnl`	Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning. CoRR Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2019	A*	`conf`	Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning. NeurIPS Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2019	A*	`conf`	MAVEN: Multi-Agent Variational Exploration. NeurIPS Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
2019	J	`jnl`	MAVEN: Multi-Agent Variational Exploration. CoRR Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
2019	A*	`conf`	Multi-Agent Common Knowledge Reinforcement Learning. NeurIPS Christian Schröder de Witt, Jakob N. Foerster, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2019	J	`jnl`	Multitask Soft Option Learning. CoRR Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson
2019	J	`jnl`	Provably Convergent Off-Policy Actor-Critic with Function Approximation. CoRR Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2019	—	`conf`	Stable Opponent Shaping in Differentiable Games. ICLR (Poster) Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson
2019	A	`conf`	The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. AAMAS Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2019	J	`jnl`	The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. CoRR Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2019	A	`conf`	The StarCraft Multi-Agent Challenge. AAMAS Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson
2019	J	`jnl`	The StarCraft Multi-Agent Challenge. CoRR Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson
2019	J	`jnl`	VIABLE: Fast Adaptation via Backpropagating Learned Loss. CoRR Leo Feng, Luisa M. Zintgraf, Bei Peng, Shimon Whiteson
2019	A*	`conf`	VIREL: A Variational Inference Framework for Reinforcement Learning. NeurIPS Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson
2019	J	`jnl`	VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. CoRR Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2018	A*	`conf`	Alternating Optimisation and Quadrature for Robust Control. AAAI Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
2018	J	`jnl`	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2018	J	`jnl`	CAML: Fast Context Adaptation via Meta-Learning. CoRR Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
2018	J	`jnl`	Contextual Policy Optimisation. CoRR Supratik Paul, Michael A. Osborne, Shimon Whiteson
2018	A*	`conf`	Counterfactual Multi-Agent Policy Gradients. AAAI Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
2018	A*	`conf`	Deep Variational Reinforcement Learning for POMDPs. ICML Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson
2018	J	`jnl`	Deep Variational Reinforcement Learning for POMDPs. CoRR Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson
2018	A*	`conf`	DiCE: The Infinitely Differentiable Monte Carlo Estimator. ICML Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	—	`conf`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	J	`jnl`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. CoRR Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	J	`jnl`	Expected Policy Gradients for Reinforcement Learning. CoRR Kamil Ciosek, Shimon Whiteson
2018	A*	`conf`	Expected Policy Gradients. AAAI Kamil Ciosek, Shimon Whiteson
2018	J	`jnl`	Exploiting submodular value functions for scaling up active perception. Auton. Robots Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
2018	A*	`conf`	Fourier Policy Gradients. ICML Matthew Fellows, Kamil Ciosek, Shimon Whiteson
2018	J	`jnl`	Fourier Policy Gradients. CoRR Matthew Fellows, Kamil Ciosek, Shimon Whiteson
2018	J	`jnl`	Learning from Demonstration in the Wild. CoRR Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson
2018	A	`conf`	Learning with Opponent-Learning Awareness. AAMAS Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
2018	J	`jnl`	Multi-Agent Common Knowledge Reinforcement Learning. CoRR Jakob N. Foerster, Christian A. Schröder de Witt, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2018	A*	`conf`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. ICML Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	J	`jnl`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	J	`jnl`	Social interaction for efficient agent learning from human reward. Auton. Agents Multi Agent Syst. Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung
2018	J	`jnl`	Stable Opponent Shaping in Differentiable Games. CoRR Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson
2018	A*	`conf`	TACO: Learning Task Decomposition via Temporal Alignment for Control. ICML Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2018	J	`jnl`	TACO: Learning Task Decomposition via Temporal Alignment for Control. CoRR Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2018	—	`conf`	TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. ICLR (Poster) Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson
2018	J	`jnl`	VIREL: A Variational Inference Framework for Reinforcement Learning. CoRR Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson
2017	A	`conf`	Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration. IROS Kyriacos Shiarlis, João V. Messias, Shimon Whiteson
2017	J	`jnl`	Counterfactual Multi-Agent Policy Gradients. CoRR Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
2017	—	`conf`	Dynamic-Depth Context Tree Weighting. NIPS João V. Messias, Shimon Whiteson
2017	J	`jnl`	Expected Policy Gradients. CoRR Kamil Ciosek, Shimon Whiteson
2017	A	`conf`	Intro to Reinforcement Learning. BMVC Shimon Whiteson
2017	J	`jnl`	Learning with Opponent-Learning Awareness. CoRR Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
2017	—	`book`	Multi-Objective Decision Making Diederik M. Roijers, Shimon Whiteson
2017	A*	`conf`	OFFER: Off-Environment Reinforcement Learning. AAAI Kamil Andrzej Ciosek, Shimon Whiteson
2017	A*	`conf`	Rapidly exploring learning trees. ICRA Kyriacos Shiarlis, João V. Messias, Shimon Whiteson
2017	A	`conf`	Real-Time Resource Allocation for Tracking Systems. UAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2017	A*	`conf`	Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. ICML Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
2017	J	`jnl`	Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. CoRR Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
2017	J	`jnl`	TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning. CoRR Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson
2016	J	`jnl`	Alternating Optimisation and Quadrature for Robust Reinforcement Learning. CoRR Supratik Paul, Kamil Ciosek, Michael A. Osborne, Shimon Whiteson
2016	A	`conf`	Inverse Reinforcement Learning from Failure. AAMAS Kyriacos Shiarlis, João V. Messias, Shimon Whiteson
2016	J	`jnl`	Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks. CoRR Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson
2016	—	`conf`	Learning to Communicate with Deep Multi-Agent Reinforcement Learning. NIPS Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson
2016	J	`jnl`	Learning to Communicate with Deep Multi-Agent Reinforcement Learning. CoRR Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson
2016	J	`jnl`	LipNet: Sentence-level Lipreading. CoRR Yannis M. Assael, Brendan Shillingford, Shimon Whiteson, Nando de Freitas
2016	J	`jnl`	Multi-Objective Deep Reinforcement Learning. CoRR Hossam Mossalam, Yannis M. Assael, Diederik M. Roijers, Shimon Whiteson
2016	A	`conf`	Multileave Gradient Descent for Fast Online Learning to Rank. WSDM Anne Schuth, Harrie Oosterhuis, Shimon Whiteson, Maarten de Rijke
2016	A*	`conf`	PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection. IJCAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	J	`jnl`	Probably Approximately Correct Greedy Maximization. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	A	`conf`	Probably Approximately Correct Greedy Maximization: (Extended Abstract). AAMAS Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	A	`conf`	Towards Learning from Implicit Human Reward: (Extended Abstract). AAMAS Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung
2016	J	`jnl`	Using informative behavior to increase engagement while learning from human reward. Auton. Agents Multi Agent Syst. Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung
2015	A	`conf`	A Large-Scale Study of Agents Learning from Human Reward. AAMAS Guangliang Li, Hayley Hung, Shimon Whiteson
2015	A*	`conf`	Bayesian Ranker Comparison Based on Historical User Interactions. SIGIR Artem Grotov, Shimon Whiteson, Maarten de Rijke
2015	J	`jnl`	Computing Convex Coverage Sets for Faster Multi-objective Coordination. J. Artif. Intell. Res. Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek
2015	—	`conf`	Copeland Dueling Bandits. NIPS Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson, Maarten de Rijke
2015	J	`jnl`	Copeland Dueling Bandits. CoRR Masrour Zoghi, Zohar Shay Karnin, Shimon Whiteson, Maarten de Rijke
2015	A*	`conf`	Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection. AAAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2015	A	`conf`	MergeRUCB: A Method for Large-Scale Online Ranker Evaluation. WSDM Masrour Zoghi, Shimon Whiteson, Maarten de Rijke
2015	B	`conf`	Pareto Local Search for MOMDP Planning. ESANN Chiel Kooijman, Maarten de Waard, Maarten Inja, Diederik M. Roijers, Shimon Whiteson
2015	A*	`conf`	Point-Based Planning for Multi-Objective POMDPs. IJCAI Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek
2014	J	`jnl`	"Learning to rank for information retrieval from user interactions" by K. Hofmann, S. Whiteson, A. Schuth, and M. de Rijke with Martin Vesely as coordinator. SIGWEB Newsl. Katja Hofmann, Shimon Whiteson, Anne Schuth, Maarten de Rijke
2014	J	`jnl`	A Survey of Multi-Objective Sequential Decision-Making. CoRR Diederik Marijn Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley
2014	A*	`conf`	Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty. ICAPS Diederik Marijn Roijers, Joris Scharpff, Matthijs T. J. Spaan, Frans A. Oliehoek, Mathijs de Weerdt, Shimon Whiteson
2014	—	`conf`	Challenge balancing for personalised game spaces. GEM Sander Bakkes, Shimon Whiteson, Guangliang Li, George Viorel Visniuc, Efstathios Charitos, Norbert Heijne, Arjen Swellengrebel
2014	C	`conf`	Design criteria for challenge balancing of personalised game spaces. FDG Sander Bakkes, Shimon Whiteson
2014	J	`jnl`	Efficient Abstraction Selection in Reinforcement Learning. Comput. Intell. Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
2014	J	`jnl`	Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. CoRR Frans Adriaan Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson
2014	—	`conf`	Learning from human reward benefits from socio-competitive feedback. ICDL-EPIROB Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
2014	J	`jnl`	Learning potential functions and their representations for multi-task reinforcement learning. Auton. Agents Multi Agent Syst. Matthijs Snel, Shimon Whiteson
2014	A	`conf`	Leveraging social networks to motivate humans to train agents. AAMAS Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
2014	A	`conf`	Linear support for multi-objective coordination graphs. AAMAS Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2014	A	`conf`	Multileaved Comparisons for Fast Online Evaluation. CIKM Anne Schuth, Floor Sietsma, Shimon Whiteson, Damien Lefortier, Maarten de Rijke
2014	A	`conf`	Optimizing Base Rankers Using Clicks - A Case Study Using BM25. ECIR Anne Schuth, Floor Sietsma, Shimon Whiteson, Maarten de Rijke
2014	A	`conf`	Queued Pareto Local Search for Multi-Objective Optimization. PPSN Maarten Inja, Chiel Kooijman, Maarten de Waard, Diederik M. Roijers, Shimon Whiteson
2014	A*	`conf`	Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem. ICML Masrour Zoghi, Shimon Whiteson, Rémi Munos, Maarten de Rijke
2014	A	`conf`	Relative confidence sampling for efficient on-line ranker evaluation. WSDM Masrour Zoghi, Shimon Whiteson, Maarten de Rijke, Rémi Munos
2014	—	`conf`	Towards Personalised Gaming via Facial Expression Recognition. AIIDE Paris Mavromoustakos Blom, Sander Bakkes, Chek Tien Tan, Shimon Whiteson, Diederik M. Roijers, Roberto Valenti, Theo Gevers
2013	J	`jnl`	A Survey of Multi-Objective Sequential Decision-Making. J. Artif. Intell. Res. Diederik M. Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley
2013	A	`conf`	Approximate solutions for factored Dec-POMDPs with many agents. AAMAS Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2013	J	`jnl`	Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval. Inf. Retr. Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	—	`conf`	Computing Convex Coverage Sets for Multi-objective Coordination Graphs. ADT Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2013	A	`conf`	Critical factors in the performance of hyperNEAT. GECCO Thomas G. van den Berg, Shimon Whiteson
2013	—	`conf`	Efficient Abstraction Selection in Reinforcement Learning (Extended Abstract). SARA Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
2013	J	`jnl`	Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods. ACM Trans. Inf. Syst. Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	J	`jnl`	Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. J. Artif. Intell. Res. Frans A. Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson
2013	—	`conf`	Lerot: an online learning to rank framework. LivingLab@CIKM Anne Schuth, Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	A	`conf`	Multi-objective variable elimination for collaborative graphical games. AAMAS Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2013	J	`jnl`	Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem. CoRR Masrour Zoghi, Shimon Whiteson, Rémi Munos, Maarten de Rijke
2013	—	`conf`	Reusing Historical Interaction Data for Faster Online Learning to Rank for IR. DIR Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke
2013	A	`conf`	Reusing historical interaction data for faster online learning to rank for IR. WSDM Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke
2013	A	`conf`	Using informative behavior to increase engagement in the tamer framework. AAMAS Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
2012	A	`conf`	Estimating interleaved comparison outcomes from historical click data. CIKM Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2012	—	`ch.`	Evolutionary Computation for Reinforcement Learning. Reinforcement Learning Shimon Whiteson
2012	J	`jnl`	Exploiting Structure in Cooperative Bayesian Games CoRR Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2012	A	`conf`	Exploiting Structure in Cooperative Bayesian Games. UAI Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2012	A	`conf`	V-MAX: tempered optimism for better PAC reinforcement learning. AAMAS Karun Rao, Shimon Whiteson
2011	A	`conf`	A probabilistic method for inferring preferences from clicks. CIKM Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	—	`conf`	Adapting Rankers Online. IRFC Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	A	`conf`	Balancing Exploration and Exploitation in Learning to Rank Online. ECIR Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	A	`conf`	Critical factors in the performance of novelty search. GECCO Steijn Kistemaker, Shimon Whiteson
2011	J	`jnl`	Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games CoRR Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2011	J	`jnl`	Exploiting Best-Match Equations for Efficient Reinforcement Learning. J. Mach. Learn. Res. Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering
2011	J	`jnl`	Introduction to the special issue on empirical evaluations in reinforcement learning. Mach. Learn. Shimon Whiteson, Michael L. Littman
2011	—	`conf`	Multi-Task Reinforcement Learning: Shaping and Feature Selection. EWRL Matthijs Snel, Shimon Whiteson
2011	J	`jnl`	Neuroevolutionary reinforcement learning for generalized control of simulated helicopters. Evol. Intell. Rogier Koppejan, Shimon Whiteson
2011	—	`conf`	Protecting against evaluation overfitting in empirical reinforcement learning. ADPRL Shimon Whiteson, Brian Tanner, Matthew E. Taylor, Peter Stone
2011	—	`conf`	Robust central pattern generators for embodied hierarchical reinforcement learning. ICDL-EPIROB Matthijs Snel, Shimon Whiteson, Yasuo Kuniyoshi
2010	—	`book`	Adaptive Representations for Reinforcement Learning Shimon Whiteson
2010	J	`jnl`	Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. Auton. Agents Multi Agent Syst. Shimon Whiteson, Matthew E. Taylor, Peter Stone
2010	A	`conf`	Multi-task evolutionary shaping without pre-specified representations. GECCO Matthijs Snel, Shimon Whiteson
2010	J	`jnl`	Report on the 2008 Reinforcement Learning Competition. AI Mag. Shimon Whiteson, Brian Tanner, Adam White
2010	—	`ch.`	Switching between Representations in Reinforcement Learning. Interactive Collaborative Information Systems Harm van Seijen, Shimon Whiteson, Leon J. H. M. Kester
2010	—	`ch.`	Traffic Light Control by Multiagent Reinforcement Learning Systems. Interactive Collaborative Information Systems Bram Bakker, Shimon Whiteson, Leon J. H. M. Kester, Frans C. A. Groen
2009	—	`conf`	A theoretical and empirical analysis of Expected Sarsa. ADPRL Harm van Seijen, Hado van Hasselt, Shimon Whiteson, Marco A. Wiering
2009	C	`conf`	Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs. ICMLA Mark Kroon, Shimon Whiteson
2009	C	`conf`	Integrating distributed Bayesian inference and reinforcement learning for sensor management. FUSION Corrado Grappiolo, Shimon Whiteson, Gregor Pavlin, Bram Bakker
2009	—	`conf`	Lossless clustering of histories in decentralized POMDPs. AAMAS (1) Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2009	J	`jnl`	Machine learning for event selection in high energy physics. Eng. Appl. Artif. Intell. Shimon Whiteson, Daniel Whiteson
2009	A	`conf`	Neuroevolutionary reinforcement learning for generalized helicopter control. GECCO Rogier Koppejan, Shimon Whiteson
2009	C	`conf`	Postponed Updates for Temporal-Difference Reinforcement Learning. ISDA Harm van Seijen, Shimon Whiteson
2008	—	`conf`	Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos Vlassis
2008	—	`conf`	Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. ECML/PKDD (1) Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis
2007	J	`jnl`	Empirical Studies in Action Selection with Reinforcement Learning. Adapt. Behav. Shimon Whiteson, Matthew E. Taylor, Peter Stone
2007	A*	`conf`	Stochastic Optimization for Collision Selection in High Energy Physics. AAAI Shimon Whiteson, Daniel Whiteson
2007	A*	`conf`	Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. AAAI Matthew E. Taylor, Shimon Whiteson, Peter Stone
2007	A	`conf`	Transfer via inter-task mappings in policy search reinforcement learning. AAMAS Matthew E. Taylor, Shimon Whiteson, Peter Stone
2006	A	`conf`	Comparing evolutionary and temporal difference methods in a reinforcement learning domain. GECCO Matthew E. Taylor, Shimon Whiteson, Peter Stone
2006	J	`jnl`	Evolutionary Function Approximation for Reinforcement Learning. J. Mach. Learn. Res. Shimon Whiteson, Peter Stone
2006	A	`conf`	On-line evolutionary computation for reinforcement learning in stochastic domains. GECCO Shimon Whiteson, Peter Stone
2006	A*	`conf`	Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. AAAI Shimon Whiteson, Peter Stone
2005	A	`conf`	Automatic feature selection in neuroevolution. GECCO Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl
2005	J	`jnl`	Evolving Soccer Keepaway Players Through Task Decomposition. Mach. Learn. Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone
2005	A*	`conf`	Improving Reinforcement Learning Function Approximators via Neuroevolution. AAAI Shimon Whiteson
2005	A	`conf`	Improving reinforcement learning function approximators via neuroevolution. AAMAS Shimon Whiteson
2004	J	`jnl`	Adaptive job routing and scheduling. Eng. Appl. Artif. Intell. Shimon Whiteson, Peter Stone
2004	A*	`conf`	Towards Autonomic Computing: Adaptive Job Routing and Scheduling. AAAI Shimon Whiteson, Peter Stone
2004	—	`conf`	Towards Autonomic Computing: Adaptive Network Routing and Scheduling. ICAC Shimon Whiteson, Peter Stone
2003	A	`conf`	Concurrent layered learning. AAMAS Shimon Whiteson, Peter Stone
2003	A	`conf`	Evolving Keepaway Soccer Players through Task Decomposition. GECCO Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone