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Emphatic Algorithms for Deep Reinforcement Learning


Jun 21, 2021
Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 

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A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning


Apr 28, 2021
Andrew Patterson, Adam White, Sina Ghiassian, Martha White


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Prediction problems inspired by animal learning


Nov 09, 2020
Banafsheh Rafiee, Sina Ghiassian, Raksha Kumaraswamy, Richard Sutton, Elliot Ludvig, Adam White


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Towards a practical measure of interference for reinforcement learning


Jul 07, 2020
Vincent Liu, Adam White, Hengshuai Yao, Martha White

* 18 pages 

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Gradient Temporal-Difference Learning with Regularized Corrections


Jul 07, 2020
Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White

* 22 pages. Accepted to ICML 2020 

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Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks


Mar 16, 2020
Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White

* 10 pages; Accepted to AAMAS 2020 

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Measurable Counterfactual Local Explanations for Any Classifier


Aug 08, 2019
Adam White, Artur d'Avila Garcez


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Meta-descent for Online, Continual Prediction


Jul 17, 2019
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

* AAAI Conference on Artificial Intelligence 2019 

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Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study


Jun 19, 2019
Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White


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Planning with Expectation Models


Apr 03, 2019
Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton


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The Barbados 2018 List of Open Issues in Continual Learning


Nov 16, 2018
Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc Bellemare, Doina Precup

* NIPS Continual Learning Workshop 2018 

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Context-Dependent Upper-Confidence Bounds for Directed Exploration


Nov 15, 2018
Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White

* Neural Information Processing Systems 2018 

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Online Off-policy Prediction


Nov 06, 2018
Sina Ghiassian, Andrew Patterson, Martha White, Richard S. Sutton, Adam White

* 68 pages 

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General Value Function Networks


Jul 18, 2018
Matthew Schlegel, Adam White, Andrew Patterson, Martha White


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Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains


Jun 12, 2018
Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White

* IJCAI 2018 

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Directly Estimating the Variance of the 位-Return Using Temporal-Difference Methods


Feb 14, 2018
Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton


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GQ($位$) Quick Reference and Implementation Guide


May 10, 2017
Adam White, Richard S. Sutton


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Accelerated Gradient Temporal Difference Learning


Mar 09, 2017
Yangchen Pan, Adam White, Martha White

* AAAI Conference on Artificial Intelligence (AAAI), 2017 

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A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning


Oct 24, 2016
Martha White, Adam White


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Introspective Agents: Confidence Measures for General Value Functions


Jun 17, 2016
Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski

* Accepted for presentation at the Ninth Conference on Artificial General Intelligence (AGI 2016), 4 pages, 1 figure 

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Investigating practical linear temporal difference learning


Mar 31, 2016
Adam White, Martha White

* Autonomous Agents and Multi-agent Systems, 2016 

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Scaling Life-long Off-policy Learning


Jun 27, 2012
Adam White, Joseph Modayil, Richard S. Sutton


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Multi-timescale Nexting in a Reinforcement Learning Robot


Jun 08, 2012
Joseph Modayil, Adam White, Richard S. Sutton

* (11 pages, 5 figures, This version to appear in the Proceedings of the Conference on the Simulation of Adaptive Behavior, 2012) 

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