Adam White - RankMe

100 papers A* 16A 6B 1Journal 68Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gradient Iterated Temporal-Difference Learning. CoRR Théo Vincent, Kevin Gerhardt, Yogesh Tripathi, Habib Maraqten, Adam White, Martha White, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	Deep Reinforcement Learning with Gradient Eligibility Traces. CoRR Esraa Elelimy, Brett Daley, Andrew Patterson, Marlos C. Machado, Adam White, Martha White
2025	J	`jnl`	Fine-Tuning without Performance Degradation. CoRR Han Wang, Adam White, Martha White
2025	—	`conf`	Position: Lifetime tuning is incompatible with continual reinforcement learning. ICML (Position Papers) Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina, Steven Tang, Martha White, Adam White
2024	A*	`conf`	A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning. NeurIPS Jacob Adkins, Michael Bowling, Adam White
2024	J	`jnl`	A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning. CoRR Jacob Adkins, Michael Bowling, Adam White
2024	J	`jnl`	A New View on Planning in Online Reinforcement Learning. CoRR Kevin Roice, Parham Mohammad Panahi, Scott M. Jordan, Adam White, Martha White
2024	J	`jnl`	AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning. Trans. Mach. Learn. Res. Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White
2024	J	`jnl`	Cross-environment Hyperparameter Tuning for Reinforcement Learning. RLJ Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
2024	J	`jnl`	Empirical Design in Reinforcement Learning. J. Mach. Learn. Res. Andrew Patterson, Samuel Neumann, Martha White, Adam White
2024	J	`jnl`	GVFs in the real world: making predictions online for water treatment. Mach. Learn. Muhammad Kamran Janjua, Haseeb Shah, Martha White, Erfan Miahi, Marlos C. Machado, Adam White
2024	J	`jnl`	Goal-Space Planning with Subgoal Models. J. Mach. Learn. Res. Chunlok Lo, Kevin Roice, Parham Mohammad Panahi, Scott M. Jordan, Adam White, Gabor Mihucz, Farzane Aminmansour, Martha White
2024	J	`jnl`	Harnessing Discrete Representations for Continual Reinforcement Learning. RLJ Edan Meyer, Adam White, Marlos C. Machado
2024	J	`jnl`	Investigating the Interplay of Prioritized Replay and Generalization. RLJ Parham Mohammad Panahi, Andrew Patterson, Martha White, Adam White
2024	J	`jnl`	Investigating the Interplay of Prioritized Replay and Generalization. CoRR Parham Mohammad Panahi, Andrew Patterson, Martha White, Adam White
2024	J	`jnl`	Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
2024	A*	`conf`	Position: Benchmarking is Limited in Reinforcement Learning Research. ICML Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas
2024	J	`jnl`	Position: Benchmarking is Limited in Reinforcement Learning Research. CoRR Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas
2024	A*	`conf`	Real-Time Recurrent Learning using Trace Units in Reinforcement Learning. NeurIPS Esraa Elelimy, Adam White, Michael Bowling, Martha White
2024	J	`jnl`	Real-Time Recurrent Learning using Trace Units in Reinforcement Learning. CoRR Esraa Elelimy, Adam White, Michael Bowling, Martha White
2024	A*	`conf`	Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). AAAI Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White
2024	J	`jnl`	The Cliff of Overcommitment with Policy Gradient Step Sizes. RLJ Scott M. Jordan, Samuel Neumann, James E. Kostas, Adam White, Philip S. Thomas
2024	J	`jnl`	The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning. CoRR Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
2024	J	`jnl`	Tuning for the Unknown: Revisiting Evaluation Strategies for Lifelong RL. CoRR Golnaz Mesbahi, Olya Mastikhina, Parham Mohammad Panahi, Martha White, Adam White
2023	J	`jnl`	Agent-State Construction with Auxiliary Inputs. Trans. Mach. Learn. Res. Ruo Yu Tao, Adam White, Marlos C. Machado
2023	—	`conf`	Auxiliary task discovery through generate-and-test. CoLLAs Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
2023	J	`jnl`	Empirical Design in Reinforcement Learning. CoRR Andrew Patterson, Samuel Neumann, Martha White, Adam White
2023	—	`conf`	Entropy as a Measure of Puzzle Difficulty. AIIDE Eugene You Chen Chen, Adam White, Nathan R. Sturtevant
2023	J	`jnl`	From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. Adapt. Behav. Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S. Sutton, Elliot A. Ludvig, Adam White
2023	J	`jnl`	GVFs in the Real World: Making Predictions Online for Water Treatment. CoRR Muhammad Kamran Janjua, Haseeb Shah, Martha White, Erfan Miahi, Marlos C. Machado, Adam White
2023	A*	`conf`	Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. ICLR Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White
2023	J	`jnl`	Harnessing Discrete Representations For Continual Reinforcement Learning. CoRR Edan Meyer, Adam White, Marlos C. Machado
2023	—	`conf`	Loss of Plasticity in Continual Deep Reinforcement Learning. CoLLAs Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado
2023	J	`jnl`	Loss of Plasticity in Continual Deep Reinforcement Learning. CoRR Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado
2023	—	`conf`	Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
2023	J	`jnl`	Measuring and Mitigating Interference in Reinforcement Learning. CoRR Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
2023	J	`jnl`	Recurrent Linear Transformers. CoRR Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White
2023	J	`jnl`	Reward-respecting subtasks for model-based reinforcement learning. Artif. Intell. Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White
2023	A*	`conf`	The In-Sample Softmax for Offline Reinforcement Learning. ICLR Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
2023	J	`jnl`	The In-Sample Softmax for Offline Reinforcement Learning. CoRR Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
2022	J	`jnl`	A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning. J. Mach. Learn. Res. Andrew Patterson, Adam White, Martha White
2022	J	`jnl`	Agent-State Construction with Auxiliary Inputs. CoRR Ruo Yu Tao, Adam White, Marlos C. Machado
2022	J	`jnl`	Auxiliary task discovery through generate-and-test. CoRR Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
2022	J	`jnl`	Continual Auxiliary Task Learning. CoRR Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2022	J	`jnl`	Goal-Space Planning with Subgoal Models. CoRR Chunlok Lo, Gabor Mihucz, Adam White, Farzane Aminmansour, Martha White
2022	J	`jnl`	Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
2022	A*	`conf`	Learning Expected Emphatic Traces for Deep RL. AAAI Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt
2022	J	`jnl`	No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
2022	J	`jnl`	Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. CoRR Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski
2022	J	`jnl`	Reward-Respecting Subtasks for Model-Based Reinforcement Learning. CoRR Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White
2022	J	`jnl`	The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. CoRR Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White
2022	J	`jnl`	What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. CoRR Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White
2021	J	`jnl`	A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning. CoRR Andrew Patterson, Adam White, Sina Ghiassian, Martha White
2021	J	`jnl`	Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study. CoRR Dylan J. A. Brenneis, Adam S. R. Parker, Michael Bradley Johanson, Andrew Butcher, Elnaz Davoodi, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White, Patrick M. Pilarski
2021	A*	`conf`	Continual Auxiliary Task Learning. NeurIPS Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2021	A*	`conf`	Emphatic Algorithms for Deep Reinforcement Learning. ICML Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2021	J	`jnl`	Emphatic Algorithms for Deep Reinforcement Learning. CoRR Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2021	J	`jnl`	General Value Function Networks. J. Artif. Intell. Res. Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White
2021	J	`jnl`	Learning Expected Emphatic Traces for Deep RL. CoRR Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt
2020	J	`jnl`	Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study. J. Artif. Intell. Res. Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
2020	A*	`conf`	Gradient Temporal-Difference Learning with Regularized Corrections. ICML Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White
2020	J	`jnl`	Gradient Temporal-Difference Learning with Regularized Corrections. CoRR Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White
2020	A	`conf`	Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. AAMAS Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White
2020	J	`jnl`	Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. CoRR Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White
2020	J	`jnl`	Towards a practical measure of interference for reinforcement learning. CoRR Vincent Liu, Adam White, Hengshuai Yao, Martha White
2020	A*	`conf`	Training Recurrent Neural Networks Online by Learning Explicit State Variables. ICLR Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White
2019	J	`jnl`	Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study. CoRR Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
2019	A*	`conf`	Meta-Descent for Online, Continual Prediction. AAAI Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019	J	`jnl`	Meta-descent for Online, Continual Prediction. CoRR Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019	A*	`conf`	Planning with Expectation Models. IJCAI Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton
2019	J	`jnl`	Planning with Expectation Models. CoRR Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton
2019	A	`conf`	Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots. AAMAS Banafsheh Rafiee, Sina Ghiassian, Adam White, Richard S. Sutton
2018	A	`conf`	Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. UAI Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton
2018	J	`jnl`	Context-Dependent Upper-Confidence Bounds for Directed Exploration. CoRR Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
2018	A*	`conf`	Context-dependent upper-confidence bounds for directed exploration. NeurIPS Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
2018	J	`jnl`	Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. CoRR Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton
2018	J	`jnl`	General Value Function Networks. CoRR Matthew Schlegel, Adam White, Andrew Patterson, Martha White
2018	J	`jnl`	Online Off-policy Prediction. CoRR Sina Ghiassian, Andrew Patterson, Martha White, Richard S. Sutton, Adam White
2018	J	`jnl`	Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains. CoRR Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
2018	A*	`conf`	Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains. IJCAI Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
2018	J	`jnl`	The Barbados 2018 List of Open Issues in Continual Learning. CoRR Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc G. Bellemare, Doina Precup
2017	A*	`conf`	Accelerated Gradient Temporal Difference Learning. AAAI Yangchen Pan, Adam White, Martha White
2017	J	`jnl`	GQ($λ$) Quick Reference and Implementation Guide. CoRR Adam White, Richard S. Sutton
2016	A	`conf`	A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning. AAMAS Martha White, Adam White
2016	J	`jnl`	A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning. CoRR Martha White, Adam White
2016	J	`jnl`	Accelerated Gradient Temporal Difference Learning. CoRR Yangchen Pan, Adam White, Martha White
2016	—	`conf`	Introspective Agents: Confidence Measures for General Value Functions. AGI Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
2016	J	`jnl`	Introspective Agents: Confidence Measures for General Value Functions. CoRR Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
2016	A	`conf`	Investigating Practical Linear Temporal Difference Learning. AAMAS Adam White, Martha White
2016	J	`jnl`	Investigating practical, linear temporal difference learning. CoRR Adam White, Martha White
2014	J	`jnl`	Multi-timescale nexting in a reinforcement learning robot. Adapt. Behav. Joseph Modayil, Adam White, Richard S. Sutton
2012	B	`conf`	Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. SMC Joseph Modayil, Adam White, Patrick M. Pilarski, Richard S. Sutton
2012	—	`conf`	Multi-timescale Nexting in a Reinforcement Learning Robot. SAB Joseph Modayil, Adam White, Richard S. Sutton
2012	J	`jnl`	Scaling Life-long Off-policy Learning CoRR Adam White, Joseph Modayil, Richard S. Sutton
2012	—	`conf`	Scaling life-long off-policy learning. ICDL-EPIROB Adam White, Joseph Modayil, Richard S. Sutton
2011	A	`conf`	Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. AAMAS Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, Doina Precup
2011	J	`jnl`	Multi-timescale Nexting in a Reinforcement Learning Robot CoRR Joseph Modayil, Adam White, Richard S. Sutton
2010	—	`conf`	Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains. NIPS Martha White, Adam White
2010	J	`jnl`	Report on the 2008 Reinforcement Learning Competition. AI Mag. Shimon Whiteson, Brian Tanner, Adam White
2009	J	`jnl`	RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments. J. Mach. Learn. Res. Brian Tanner, Adam White