CS 7642 Reinforcement Learning
Not startedTheory and practice of reinforcement learning, with paper-replication projects.
Practice in the Flight Lab: Solve the backup · One Q update
Prerequisites
CS 7641 recommended; probability, Python.
Subareas
Main topics / syllabus areas
- MDPs & Bellman equations
- TD(λ) learning
- Q-learning & function approximation
- Deep Q-networks
- Policy gradient methods
- Game theory & multi-agent RL
Resources
- OMSCS course page ↗omscs.gatech.edu
- OMSCentral reviews ↗omscentral.com
- Multi-Agent Reinforcement Learning book ↗marl-book.com