Entropic risk for turn-based stochastic games.
Christel BaierKrishnendu ChatterjeeTobias MeggendorferJakob PiribauerPublished in: Inf. Comput. (2024)
Keyphrases
- stochastic games
- nash equilibria
- games with incomplete information
- markov decision processes
- multiagent reinforcement learning
- average reward
- learning automata
- reinforcement learning algorithms
- nash equilibrium
- multi agent
- incomplete information
- infinite horizon
- robust optimization
- imperfect information
- computational complexity