Tejas Bodas - CS7.603: Topics in Reinforcement Learning

CS7.603: Topics in Reinforcement learning (slides for first half)

Lectures 1 - 3 pdf (Introduction to RL, Probability Refresher, Random variables, Convergence, Intro to Markov chains)

Lectures 4 - 5 pdf (Markov Chains and Markov Reward Process)

Lectures 6 - 7 pdf (Dynamic programming, Principle of Optimality, Intro to Stochastic Optimization)

Lectures 8- 9 pdf (Introduction to MDPs, Finite horizon MDPs)

Lectures 10- 12 pdf (Infinite Horizon MDP's)

Lectures 13 - 14 pdf (Baby RL, Monte Carlo Evaluation and Control)

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