Finding the Equilibrium for Continuous Constrained Markov Games Under the Average Criteria.
Xiaofeng JiangShuangwu ChenJian YangHan HuZhenliang ZhangPublished in: IEEE Trans. Autom. Control. (2020)
Keyphrases
- markov games
- markov decision processes
- multiagent reinforcement learning
- reinforcement learning algorithms
- control problems
- reinforcement learning
- markov decision process
- action space
- game theory
- nash equilibrium
- multiagent systems
- average cost
- state space
- stochastic games
- multi agent
- sufficient conditions
- dynamic programming
- cooperative