CMPUT 365
Introduction to Reinforcement Learning
Winter 2026
Topics
- Bandit problems
- Markov decision processes
- Dynamic programming
- Monte Carlo and temporal-difference prediction
- Sarsa and Q-learning
- Dyna and learned-model planning
- Function approximation
Readings
Sources
- Course catalogue ↗2026–2027
- 2022-Winter-CMPUT-365-LECTURE-B1 ↗2022
- Introduction to Reinforcement Learning ↗2026
- Partial automated extraction.