Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Game Theory
Mean Field Games and Mean Field Reinforcement Learning for Massive Agent Populations
How mean field theory lets you solve game-theoretic problems with millions of agents by replacing individual interactions with a statistical summary of the crowdCounterfactual Regret Minimization for Solving Imperfect Information Games
How CFR and its variants taught AI to master poker and navigate the fog of war in multi-agent decision makingMinimax and Adversarial Search for Decision-Making in Competitive Environments
Master the minimax algorithm and adversarial search - the foundation of game-playing AI agents and competitive decision-making systems.Understanding Multi-Agent Behavior with Game Theory and Nash Equilibrium
## 1. Concept Introduction Imagine two partners in crime are captured and held in separate interrogation rooms. The po...