CSE542: Reinforcement Learning (offered as CSE 599B - 24sp)

Catalog Description: Foundations of modern reinforcement learning. Topics may include Markov Decision Processes, Value Iteration, Policy Iteration, Approximate Dynamic Programming, Temporal Difference Learning, Q-Learning, Policy Gradients, and Imitation Learning.

Prerequisities: (none listed)

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