Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles

Bhrij Patel; Wesley A Suttle; Alec Koppel; Vaneet Aggarwal; Brian M. Sadler; Dinesh Manocha; Amrit Bedi

2024 ICML ICML 2024

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles

Abstract

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🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Bhrij Patel, Wesley A Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit Bedi

Topics

Machine Learning > Optimization & Theory > Optimization Reinforcement Learning > Methods > Deep RL Reinforcement Learning > Methods > Policy Learning

Keywords

policy gradient global convergence mixing time average reward multilevel monte carlo multi-level actor-critic

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