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John Tsitsiklis -- Reinforcement Learning
TD Lambda Empirically
Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
Sergey Levine - Reinforcement Learning in the Age of Foundation Models - RLC 2024
How physics helps an AI agent pass a frozen lake [Monte Carlo Reinforcement Learning]
![How physics helps an AI agent pass a frozen lake [Monte Carlo Reinforcement Learning]](https://i.ytimg.com/vi/fmMUGLIJ2OE/mqdefault.jpg)
