Efficiently Computing Nash Equilibria in Adversarial Team Markov Games.
Fivos KalogiannisIoannis AnagnostidesIoannis PanageasEmmanouil-Vasileios Vlatakis-GkaragkounisVaggos ChatziafratisStelios Andrew StavroulakisPublished in: ICLR (2023)
Keyphrases
- efficiently computing
- nash equilibria
- markov games
- stochastic games
- multiagent reinforcement learning
- nash equilibrium
- markov decision processes
- incomplete information
- game theory
- reinforcement learning algorithms
- game theoretic
- pure strategy
- multi agent
- reinforcement learning
- markov decision process
- control problems
- state space
- learning algorithm
- learning automata