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Khimya Khetarpal

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


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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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