Limit Equilibrium Payoffs in Stochastic Games.
Jérôme RenaultBruno ZiliottoPublished in: Math. Oper. Res. (2020)
Keyphrases
- stochastic games
- repeated games
- subgame perfect equilibrium
- nash equilibrium
- nash equilibria
- games with incomplete information
- game theory
- incomplete information
- game theoretic
- markov decision processes
- multiagent reinforcement learning
- perfect information
- multi agent
- learning automata
- robust optimization
- average reward
- imperfect information
- single agent
- reinforcement learning algorithms
- resource allocation
- sufficient conditions
- cooperative