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TODAY'S EVENTS
Nov 22, 2024
Nov 22, 2024
3:30 PM - 4:30 PM
Speaker Rayadurgam Srikant Abstract We consider policy optimization methods in reinforcement learning settings where the state space is arbitrarily large, or even countably infinite. The motivation arises from control problems in communication networks, matching markets, and other queueing systems. Specifically, we consider the popular Natural Policy Gradient (NPG) algorithm, which has been studied in the past only under the assumption that the cost is bounded and the state space is finit...