Value Function Approximation in Zero-Sum Markov Games
Michail G. LagoudakisRonald ParrPublished in: CoRR (2013)
Keyphrases
- markov games
- markov decision processes
- multiagent reinforcement learning
- reinforcement learning algorithms
- markov decision process
- reinforcement learning
- control problems
- stochastic games
- multiagent systems
- state space
- optimal policy
- nash equilibrium
- dynamic programming
- finite state
- multi agent
- model free
- infinite horizon
- policy iteration
- finite horizon
- optimal stopping
- cooperative
- optimal control
- temporal difference
- action space
- function approximation
- average cost
- temporal difference learning
- markov chain