Differentiable Arbitrating in Zero-sum Markov Games.
Jing WangMeichen SongFeng GaoBoyi LiuZhaoran WangYi WuPublished in: CoRR (2023)
Keyphrases
- markov games
- markov decision processes
- multiagent reinforcement learning
- markov decision process
- reinforcement learning algorithms
- reinforcement learning
- control problems
- stochastic games
- multiagent systems
- state space
- objective function
- nash equilibrium
- multi agent
- optimal policy
- model free
- finite state
- policy iteration
- cooperative
- infinite horizon
- finite horizon
- average cost
- optimal control
- optimal stopping
- nash equilibria