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Variance Penalized On-Policy and Off-Policy Actor-Critic

Feb 03, 2021
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup

* Accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 

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Towards Continual Reinforcement Learning: A Review and Perspectives

Dec 25, 2020
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup

* Preprint, 52 pages, 8 figures 

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Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP

Jul 28, 2020
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

* Accepted at the ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning. 21 pages, 12 figures 

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What can I do here? A Theory of Affordances in Reinforcement Learning

Jun 26, 2020
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup

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

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Options of Interest: Temporal Abstraction with Interest Functions

Jan 01, 2020
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

* To appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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Environments for Lifelong Reinforcement Learning

Dec 06, 2018
Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup

* Accepted at 2nd Continual Learning Workshop, Neural Information Processing Systems (NeurIPS) 2018 

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Attend Before you Act: Leveraging human visual attention for continual learning

Jul 25, 2018
Khimya Khetarpal, Doina Precup

* Lifelong Learning: A Reinforcement Learning Approach (LLARLA) Workshop, ICML 2018 

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Safe Option-Critic: Learning Safety in the Option-Critic Architecture

Jul 21, 2018
Arushi Jain, Khimya Khetarpal, Doina Precup

* 9 pages, 13 figures, to be published in ALA - ICML Workshop 2018 

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