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Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences


Jul 17, 2021
Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White

* Submitted to JMLR 

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Predictive Representation Learning for Language Modeling


May 29, 2021
Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe


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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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Scalable Online Recurrent Learning Using Columnar Neural Networks


Mar 09, 2021
Khurram Javed, Martha White, Rich Sutton

* Structural credit-assignment, scalable recurrent learning, scalable meta-learning, backward view credit-assignment 

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Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop


Dec 07, 2020
Sebastian Höfer, Kostas Bekris, Ankur Handa, Juan Camilo Gamboa, Florian Golemo, Melissa Mozifian, Chris Atkeson, Dieter Fox, Ken Goldberg, John Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White

* Summary of the "2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics" held in conjunction with "Robotics: Science and System 2020". Website: https://sim2real.github.io/ 

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Towards Safe Policy Improvement for Non-Stationary MDPs


Oct 23, 2020
Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas

* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?


Oct 14, 2020
Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe

* 12 pages 

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Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities


Jul 19, 2020
Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao

* The paper is under review 

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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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Selective Dyna-style Planning Under Limited Model Capacity


Jul 05, 2020
Muhammad Zaheer, Samuel Sokota, Erin J. Talvitie, Martha White

* Accepted at ICML 2020 

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Learning Causal Models Online


Jun 12, 2020
Khurram Javed, Martha White, Yoshua Bengio

* Spurious features, causal models, online learning, random search, non-iid 

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Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models


Jun 08, 2020
Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Micheal Bowling

* 9 pages, 7 figures, 

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Optimizing for the Future in Non-Stationary MDPs


Jun 02, 2020
Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas

* Thirty-seventh International Conference on Machine Learning (ICML 2020) 

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Maximizing Information Gain in Partially Observable Environments via Prediction Reward


May 11, 2020
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans Oliehoek, Martha White

* AAMAS 2020 

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Maxmin Q-learning: Controlling the Estimation Bias of Q-learning


Feb 16, 2020
Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White


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An implicit function learning approach for parametric modal regression


Feb 14, 2020
Yangchen Pan, Ehsan Imani, Martha White, Amir-massoud Farahmand


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Is Fast Adaptation All You Need?


Oct 03, 2019
Khurram Javed, Hengshuai Yao, Martha White

* Meta Learning Workshop, NeurIPS 2019, 2 figures, MRCL, MAML 

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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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Hill Climbing on Value Estimates for Search-control in Dyna


Jul 04, 2019
Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White

* IJCAI 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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Importance Resampling for Off-policy Prediction


Jun 11, 2019
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White


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Meta-Learning Representations for Continual Learning


May 29, 2019
Khurram Javed, Martha White

* 14 pages, 9 figures, open-source, representation learning, continual learning, online learning, under review 

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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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Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling


Dec 03, 2018
Minghan Li, Tanli Zuo, Ruicheng Li, Martha White, Weishi Zheng


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An Off-policy Policy Gradient Theorem Using Emphatic Weightings


Nov 22, 2018
Ehsan Imani, Eric Graves, Martha White


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