Counterfactual Regret Exploration (CFR-Min)
Nov 2024 – Present
JupyterNumPyReinforcement Learning
Highlights
- Exploring CFR-Min for Nash equilibria in imperfect-information games.
- Worked examples: Colonel Blotto, Kuhn Poker.
- Toward general application for sequential games (Risk, Poker).