Efficiently Computing Nash Equilibria in Adversarial Team Markov Games.
Fivos KalogiannisIoannis AnagnostidesIoannis PanageasEmmanouil-Vasileios Vlatakis-GkaragkounisVaggos ChatziafratisStelios StavroulakisPublished in: CoRR (2022)
Keyphrases
- efficiently computing
- nash equilibria
- stochastic games
- multiagent reinforcement learning
- markov games
- nash equilibrium
- incomplete information
- game theory
- reinforcement learning algorithms
- game theoretic
- markov decision processes
- multi agent
- pure strategy
- markov decision process
- reinforcement learning
- control problems
- mixed strategy
- machine learning
- mobile robot
- cooperative