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Dr. Mausam (University of Washington) teaches basics of reinforcement learning, including model-based methods (adaptive dynamic programming) and model-free methods (temporal difference learning, Q-learning). Fundamental to any RL algorithm is exploration-exploitation tradeoff.
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