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Markov Decision Processes

12 Modules · 92 Lessons

Recommended resources

Module 2

Modeling and Simulating Finite MDPs in Python

Module 3

Finite-Horizon Evaluation and Control

Module 4

Infinite-Horizon Discounted Policy Evaluation

Module 5

Bellman Optimality and Value Iteration

Module 6

Policy Improvement and Policy Iteration

Module 7

Linear Programming and Occupancy Measures

Module 8

Stochastic Shortest Paths and Average-Reward MDPs

Module 9

Sensitivity, Reward Design, and Robust Planning

Module 10

Scalable and Approximate Planning

Module 11

Bridge from Known Models to Reinforcement Learning

Module 12

End-to-End MDP Analysis Project