CMPUT 628
Topics in Machine Learning
Winter 2026 · Deep Reinforcement Learning
Topics
- Experience replay and target networks
- Auxiliary inputs and tasks
- Deep Q-learning variants
- Model-based methods including MuZero and Dreamer
- Policy gradients including PPO, SAC, DDPG and TD3
- Empirical design and reporting
Sources
- Course catalogue ↗2026–2027
- Deep Reinforcement Learning ↗2026
- The syllabus mentions lecture notes and recommended recent scientific papers but does not identify the papers.