Approximate Nash Solutions for Multiplayer Mixed-Zero-Sum Game With Reinforcement Learning.
Yongfeng LvXuemei RenPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2019)
Keyphrases
- game theory
- nash equilibrium
- nash equilibria
- stochastic games
- reinforcement learning
- computer games
- game theoretic
- imperfect information
- educational games
- pareto optimal
- reinforcement learning algorithms
- multiagent reinforcement learning
- online game
- markov decision processes
- serious games
- game play
- approximate solutions
- markov games
- games with incomplete information
- multi agent systems
- multi agent
- cooperative
- optimal strategy
- boolean games
- cooperative game
- mobile games
- perfect information
- incomplete information
- exact solution
- game development
- learning process
- solution concepts
- optimal solution
- equilibrium strategies
- video games
- machine learning
- multi objective
- state space
- policy evaluation
- monte carlo