Abhishek Naik on Continuing RL & Average Reward

Abhishek Naik was a student at University of Alberta and Alberta Machine Intelligence Institute, and he just finished his PhD in reinforcement learning, working with Rich Sutton. Now he is a postdoc fellow at the National Research Council of Canada, where he does AI research on Space applications. Featured References Reinforcement Learning for Continuing Problems Using Average Reward Abhishek Naik Ph.D. dissertation 2024 Reward Centering Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton 2024 Learning and Planning in Average-Reward Markov Decision Processes Yi Wan, Abhishek Naik, Richard S. Sutton 2020 Discounted Reinforcement Learning Is Not an Optimization Problem Abhishek Naik, Roshan Shariff, Niko Yasui, Hengshuai Yao, Richard S. Sutton 2019 Additional References Explaining dopamine through prediction errors and beyond , Gershman et al 2024 (proposes Differential-TD-like learning mechanism in the brain around Box 4)

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Abhishek Naik on Continuing RL & Average Reward is an episode from TalkRL: The Reinforcement Learning Podcast by Robin Ranjit Singh Chauhan.

This episode is 81:40 long.

This episode was published on Feb 10, 2025.

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