CMPUT 397
Topics in Computing Science
Fall 2020 · Reinforcement Learning
Topics
- Markov decision processes
- Approximate dynamic programming
- Monte Carlo and temporal-difference prediction
- Sarsa and Q-learning
- Dyna and model-based planning
- Function approximation
- Policy gradients
Readings
Sources
- Course catalogue ↗2026–2027
- Reinforcement Learning ↗2020
- Historical topics-course offering. The site says this textbook is used extensively and also uses the instructor-created Reinforcement Learning MOOC.