Martha White - RankMe

186 papers A* 46A 10B 1Journal 119Unranked 10

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
2026	J	`jnl`	PC-Gym: Benchmark environments for process control problems. Comput. Chem. Eng. Maximilian Bloor, José Torraca, Ilya Orson Sandoval, Akhil Ahmed, Martha White, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Rio-Chanona, Max Mowbray
2026	J	`jnl`	Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models. CoRR Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White
2026	J	`jnl`	Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning. CoRR Abdul Wahab, Raksha Kumaraswamy, Martha White
2025	J	`jnl`	An Analysis of Action-Value Temporal-Difference Methods That Learn State Values. CoRR Brett Daley, Prabhat Nagarajan, Martha White, Marlos C. Machado
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`	Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces. CoRR Jiamin He, A. Rupam Mahmood, Martha White
2025	J	`jnl`	Double Q-learning for Value-based Deep Reinforcement Learning, Revisited. CoRR Prabhat Nagarajan, Martha White, Marlos C. Machado
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
2025	A*	`conf`	q-exponential family for policy optimization. ICLR Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha 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	A*	`conf`	Averaging n-step Returns Reduces Variance in Reinforcement Learning. ICML Brett Daley, Martha White, Marlos C. Machado
2024	J	`jnl`	Compound Returns Reduce Variance in Reinforcement Learning. CoRR Brett Daley, Martha White, Marlos C. Machado
2024	J	`jnl`	Cross-environment Hyperparameter Tuning for Reinforcement Learning. RLJ Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
2024	J	`jnl`	Data-Efficient Policy Evaluation Through Behavior Policy Search. J. Mach. Learn. Res. Josiah P. Hanna, Yash Chandak, Philip S. Thomas, Martha White, Peter Stone, Scott Niekum
2024	A*	`conf`	Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. NeurIPS Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, Rupam Mahmood
2024	J	`jnl`	Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers. CoRR Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, A. Rupam Mahmood
2024	J	`jnl`	Demystifying the Recency Heuristic in Temporal-Difference Learning. RLJ Brett Daley, Marlos C. Machado, Martha White
2024	J	`jnl`	Demystifying the Recency Heuristic in Temporal-Difference Learning. CoRR Brett Daley, Marlos C. Machado, Martha White
2024	J	`jnl`	Empirical Design in Reinforcement Learning. J. Mach. Learn. Res. Andrew Patterson, Samuel Neumann, Martha White, Adam White
2024	A*	`conf`	Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI Vincent Liu, James R. Wright, Martha 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`	Investigating the Histogram Loss in Regression. CoRR Ehsan Imani, Kai Luedemann, Sam Scholnick-Hughes, Esraa Elelimy, Martha White
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	J	`jnl`	Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. J. Artif. Intell. Res. Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White
2024	J	`jnl`	Offline Reinforcement Learning via Tsallis Regularization. Trans. Mach. Learn. Res. Lingwei Zhu, Matthew Schlegel, Han Wang, Martha White
2024	J	`jnl`	PC-Gym: Benchmark Environments For Process Control Problems. CoRR Maximilian Bloor, José Torraca, Ilya Orson Sandoval, Akhil Ahmed, Martha White, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Rio-Chanona, Max Mowbray
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	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
2024	J	`jnl`	What to Do When Your Discrete Optimization Is the Size of a Neural Network? CoRR Hugo Silva, Martha White
2024	J	`jnl`	q-exponential family for policy optimization. CoRR Lingwei Zhu, Haseeb Shah, Han Wang, Martha White
2023	A	`conf`	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. AISTATS Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	J	`jnl`	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. CoRR Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	J	`jnl`	Coagent Networks: Generalized and Scaled. CoRR James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas
2023	J	`jnl`	Empirical Design in Reinforcement Learning. CoRR Andrew Patterson, Samuel Neumann, Martha White, Adam White
2023	J	`jnl`	Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. Vincent Liu, James R. Wright, Martha 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`	General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. NeurIPS Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
2023	J	`jnl`	Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. CoRR Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha 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`	Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning. Trans. Mach. Learn. Res. Matthew Schlegel, Volodymyr Tkachuk, Adam M. White, Martha White
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`	Off-Policy Actor-Critic with Emphatic Weightings. J. Mach. Learn. Res. Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White
2023	J	`jnl`	Online Real-Time Recurrent Learning Using Sparse Connections and Selective Learning. CoRR Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White
2023	J	`jnl`	Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning. Trans. Mach. Learn. Res. Erfan Miahi, Revan MacQueen, Alex Ayoub, Abbas Masoumzadeh, Martha White
2023	J	`jnl`	Robust Losses for Learning Value Functions. IEEE Trans. Pattern Anal. Mach. Intell. Andrew Patterson, Victor Liao, Martha White
2023	J	`jnl`	Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks. J. Mach. Learn. Res. Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha 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
2023	A*	`conf`	Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. ICML Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
2023	J	`jnl`	Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. CoRR Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
2023	J	`jnl`	When is Offline Policy Selection Sample Efficient for Reinforcement Learning? CoRR Vincent Liu, Prabhat Nagarajan, Andrew Patterson, 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	A*	`conf`	A Temporal-Difference Approach to Policy Gradient Estimation. ICML Samuele Tosatto, Andrew Patterson, Martha White, Rupam Mahmood
2022	J	`jnl`	A Temporal-Difference Approach to Policy Gradient Estimation. CoRR Samuele Tosatto, Andrew Patterson, Martha White, A. Rupam Mahmood
2022	A	`conf`	An Alternate Policy Gradient Estimator for Softmax Policies. AISTATS Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood
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`	Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. J. Mach. Learn. Res. Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, 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	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`	No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
2022	J	`jnl`	Representation Alignment in Neural Networks. Trans. Mach. Learn. Res. Ehsan Imani, Wei Hu, Martha White
2022	A*	`conf`	Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. ICLR Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White
2022	J	`jnl`	Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum. CoRR Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White
2022	J	`jnl`	Robust Losses for Learning Value Functions. CoRR Andrew Patterson, Victor Liao, Martha White
2022	A	`conf`	Understanding and mitigating the limitations of prioritized experience replay. UAI Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
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`	An Alternate Policy Gradient Estimator for Softmax Policies. CoRR Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, A. Rupam Mahmood
2021	A*	`conf`	Continual Auxiliary Task Learning. NeurIPS Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2021	J	`jnl`	Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR Vincent Liu, James R. Wright, Martha White
2021	A*	`conf`	Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online. ICLR Yangchen Pan, Kirby Banman, Martha White
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`	Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. CoRR Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
2021	J	`jnl`	Off-Policy Actor-Critic with Emphatic Weightings. CoRR Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White
2021	J	`jnl`	Predictive Representation Learning for Language Modeling. CoRR Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe
2021	J	`jnl`	Scalable Online Recurrent Learning Using Columnar Neural Networks. CoRR Khurram Javed, Martha White, Richard S. Sutton
2021	J	`jnl`	Sim2Real in Robotics and Automation: Applications and Challenges. IEEE Trans Autom. Sci. Eng. Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa, Melissa Mozifian, Florian Golemo, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John J. Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
2021	A*	`conf`	Structural Credit Assignment in Neural Networks using Reinforcement Learning. NeurIPS Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White
2021	J	`jnl`	Understanding Feature Transfer Through Representation Alignment. CoRR Ehsan Imani, Wei Hu, Martha White
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`	An implicit function learning approach for parametric modal regression. NeurIPS Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand, Martha White
2020	J	`jnl`	An implicit function learning approach for parametric modal regression. CoRR Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand
2020	J	`jnl`	Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. CoRR Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
2020	—	`conf`	From Language to Language-ish: How Brain-Like is an LSTM's Representation of Atypical Language Stimuli? EMNLP (Findings) Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
2020	J	`jnl`	From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli? CoRR Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe
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	J	`jnl`	Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling
2020	J	`jnl`	Learning Causal Models Online. CoRR Khurram Javed, Martha White, Yoshua Bengio
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	A*	`conf`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2020	J	`jnl`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2020	A*	`conf`	Optimizing for the Future in Non-Stationary MDPs. ICML Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	J	`jnl`	Optimizing for the Future in Non-Stationary MDPs. CoRR Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	J	`jnl`	Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop. CoRR Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa Higuera, Florian Golemo, Melissa Mozifian, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John J. Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
2020	A*	`conf`	Selective Dyna-Style Planning Under Limited Model Capacity. ICML Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White
2020	J	`jnl`	Selective Dyna-style Planning Under Limited Model Capacity. CoRR Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White
2020	A*	`conf`	Towards Safe Policy Improvement for Non-Stationary MDPs. NeurIPS Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
2020	J	`jnl`	Towards Safe Policy Improvement for Non-Stationary MDPs. CoRR Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
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`	Hill Climbing on Value Estimates for Search-control in Dyna. IJCAI Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	J	`jnl`	Hill Climbing on Value Estimates for Search-control in Dyna. CoRR Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
2019	A*	`conf`	Importance Resampling for Off-policy Prediction. NeurIPS Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
2019	J	`jnl`	Importance Resampling for Off-policy Prediction. CoRR Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
2019	J	`jnl`	Is Fast Adaptation All You Need? CoRR Khurram Javed, Hengshuai Yao, Martha White
2019	A*	`conf`	Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. NeurIPS Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White
2019	A*	`conf`	Meta-Descent for Online, Continual Prediction. AAAI Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019	A*	`conf`	Meta-Learning Representations for Continual Learning. NeurIPS Khurram Javed, Martha White
2019	J	`jnl`	Meta-Learning Representations for Continual Learning. CoRR Khurram Javed, 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`	The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
2019	—	`conf`	Two-Timescale Networks for Nonlinear Value Function Approximation. ICLR (Poster) Wesley Chung, Somjit Nath, Ajin Joseph, Martha White
2018	J	`jnl`	Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling. CoRR Minghan Li, Tanli Zuo, Ruicheng Li, Martha White, Weishi Zheng
2018	J	`jnl`	Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. CoRR Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White
2018	A*	`conf`	An Off-policy Policy Gradient Theorem Using Emphatic Weightings. NeurIPS Ehsan Imani, Eric Graves, Martha White
2018	J	`jnl`	An Off-policy Policy Gradient Theorem Using Emphatic Weightings. CoRR Ehsan Imani, Eric Graves, Martha White
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	A	`conf`	High-confidence error estimates for learned value functions. UAI Touqir Sajed, Wesley Chung, Martha White
2018	J	`jnl`	High-confidence error estimates for learned value functions. CoRR Touqir Sajed, Wesley Chung, Martha White
2018	A*	`conf`	Improving Regression Performance with Distributional Losses. ICML Ehsan Imani, Martha White
2018	J	`jnl`	Improving Regression Performance with Distributional Losses. CoRR Ehsan Imani, 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	A*	`conf`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. ICML Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2018	J	`jnl`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. CoRR Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2018	A*	`conf`	Supervised autoencoders: Improving generalization performance with unsupervised regularizers. NeurIPS Lei Le, 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
2018	J	`jnl`	The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
2017	A*	`conf`	Accelerated Gradient Temporal Difference Learning. AAAI Yangchen Pan, Adam White, Martha White
2017	A*	`conf`	Adapting Kernel Representations Online Using Submodular Maximization. ICML Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White
2017	A	`conf`	Effective sketching methods for value function approximation. UAI Yangchen Pan, Erfan Sadeqi Azer, Martha White
2017	J	`jnl`	Effective sketching methods for value function approximation. CoRR Yangchen Pan, Erfan Sadeqi Azer, Martha White
2017	A*	`conf`	Learning Sparse Representations in Reinforcement Learning with Sparse Coding. IJCAI Lei Le, Raksha Kumaraswamy, Martha White
2017	J	`jnl`	Learning Sparse Representations in Reinforcement Learning with Sparse Coding. CoRR Lei Le, Raksha Kumaraswamy, Martha White
2017	—	`conf`	Multi-view Matrix Factorization for Linear Dynamical System Estimation. NIPS Mahdi Karami, Martha White, Dale Schuurmans, Csaba Szepesvári
2017	A*	`conf`	Recovering True Classifier Performance in Positive-Unlabeled Learning. AAAI Shantanu Jain, Martha White, Predrag Radivojac
2017	J	`jnl`	Recovering True Classifier Performance in Positive-Unlabeled Learning. CoRR Shantanu Jain, Martha White, Predrag Radivojac
2017	A*	`conf`	Unifying Task Specification in Reinforcement Learning. ICML Martha White
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	J	`jnl`	An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning. J. Mach. Learn. Res. Richard S. Sutton, Ashique Rupam Mahmood, Martha White
2016	—	`conf`	Estimating the class prior and posterior from noisy positives and unlabeled data. NIPS Shantanu Jain, Martha White, Predrag Radivojac
2016	J	`jnl`	Estimating the class prior and posterior from noisy positives and unlabeled data. CoRR Shantanu Jain, Martha White, Predrag Radivojac
2016	J	`jnl`	Global optimization of factor models using alternating minimization. CoRR Lei Le, Martha White
2016	A*	`conf`	Incremental Truncated LSTD. IJCAI Clement Gehring, Yangchen Pan, Martha White
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
2016	J	`jnl`	Nonparametric semi-supervised learning of class proportions. CoRR Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac
2016	J	`jnl`	Unifying task specification in reinforcement learning. CoRR Martha White
2015	J	`jnl`	An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning. CoRR Richard S. Sutton, Ashique Rupam Mahmood, Martha White
2015	J	`jnl`	Emphatic Temporal-Difference Learning. CoRR Ashique Rupam Mahmood, Huizhen Yu, Martha White, Richard S. Sutton
2015	J	`jnl`	Incremental Truncated LSTD. CoRR Clement Gehring, Martha White
2015	A*	`conf`	Optimal Estimation of Multivariate ARMA Models. AAAI Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans
2015	—	`conf`	Scalable Metric Learning for Co-Embedding. ECML/PKDD (1) Farzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans
2013	B	`conf`	Partition Tree Weighting. DCC Joel Veness, Martha White, Michael Bowling, András György
2012	—	`conf`	Convex Multi-view Subspace Learning. NIPS Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2012	A	`conf`	Generalized Optimal Reverse Prediction. AISTATS Martha White, Dale Schuurmans
2012	A*	`conf`	Linear Off-Policy Actor-Critic. ICML Thomas Degris, Martha White, Richard S. Sutton
2012	J	`jnl`	Off-Policy Actor-Critic CoRR Thomas Degris, Martha White, Richard S. Sutton
2012	J	`jnl`	Partition Tree Weighting CoRR Joel Veness, Martha White, Michael Bowling, András György
2011	A*	`conf`	Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. AAAI Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans
2010	—	`conf`	Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains. NIPS Martha White, Adam White
2010	—	`conf`	Relaxed Clipping: A Global Training Method for Robust Regression and Classification. NIPS Yaoliang Yu, Min Yang, Linli Xu, Martha White, Dale Schuurmans
2009	A*	`conf`	Learning a Value Analysis Tool for Agent Evaluation. IJCAI Martha White, Michael H. Bowling
2009	A*	`conf`	Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. ICML Linli Xu, Martha White, Dale Schuurmans