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Learning Retrospective Knowledge with Reverse Reinforcement Learning

Jul 09, 2020
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson


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Self-Tuning Deep Reinforcement Learning

Mar 02, 2020
Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh


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How Should an Agent Practice?

Dec 15, 2019
Janarthanan Rajendran, Richard Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh

* AAAI-2020 

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Discovery of Useful Questions as Auxiliary Tasks

Sep 10, 2019
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh


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Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning

Mar 08, 2019
Alex Kearney, Vivek Veeriah, Jaden Travnik, Patrick M. Pilarski, Richard S. Sutton


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Many-Goals Reinforcement Learning

Jun 22, 2018
Vivek Veeriah, Junhyuk Oh, Satinder Singh


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TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent

Apr 10, 2018
Alex Kearney, Vivek Veeriah, Jaden B. Travnik, Richard S. Sutton, Patrick M. Pilarski

* Version as submitted to the 31st Conference on Neural Information Processing Systems (NIPS 2017) on May 19, 2017. 9 pages, 5 figures. Extended version in preparation for journal submission 

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Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks

Apr 27, 2017
Vivek Veeriah, Shangtong Zhang, Richard S. Sutton


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Face valuing: Training user interfaces with facial expressions and reinforcement learning

Jun 09, 2016
Vivek Veeriah, Patrick M. Pilarski, Richard S. Sutton

* 7 pages, 4 figures, IJCAI 2016 - Interactive Machine Learning Workshop 

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Differential Recurrent Neural Networks for Action Recognition

Apr 25, 2015
Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi


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