• Abhishek Naik on Continuing RL & Average Reward

  • Feb 10 2025
  • Durée: 1 h et 22 min
  • Podcast

Abhishek Naik on Continuing RL & Average Reward

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  • Résumé

  • 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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