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cs.LG2024
Performance of NPG in Countable State-Space Average-Cost RL
Yashaswini Murthy, Isaac Grosof, Siva Theja Maguluri +1
We consider policy optimization methods in reinforcement learning settings where the state space is arbitrarily large, or even countably infinite. The motivation arises from contro…
cs.LG2024
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes
Navdeep Kumar, Yashaswini Murthy, Itai Shufaro +3
We present the first finite time global convergence analysis of policy gradient in the context of infinite horizon average reward Markov decision processes (MDPs). Specifically, we…