Playing Against Fair Adversaries in Stochastic Games with Total Rewards.
Pablo F. CastroPedro R. D'ArgenioLuciano PutrueleRamiro DemasiPublished in: CoRR (2021)
Keyphrases
- stochastic games
- markov decision processes
- imperfect information
- reinforcement learning
- reinforcement learning algorithms
- nash equilibria
- multiagent reinforcement learning
- average reward
- state space
- multi agent
- finite state
- repeated games
- learning automata
- game playing
- reward function
- nash equilibrium
- policy iteration
- dynamic programming
- genetic algorithm
- machine learning
- robust optimization
- computer games
- game theory
- multiagent systems
- computational complexity