Reinforcement Learning
Markov decision processes, dynamic programming, temporal-difference learning, policy gradients and deep RL.
AI-330 Year 3 3 credits 5 lessons planned
Offered by HSM University · Artificial Intelligence
Course content
- 1Bandits and Markov decision processesComing
- 2Dynamic programmingComing
- 3Monte Carlo and temporal-difference learningComing
- 4Function approximation and deep RLComing
- 5Policy gradients and actor-critic methodsComing
Requirements
Recommended background. You can start any course at any time.
Description
Markov decision processes, dynamic programming, temporal-difference learning, policy gradients and deep RL.
Part of the Science stream, typically taken in year 3.