Online Reinforcement Learning in Stochastic Games.
Chen-Yu WeiYi-Te HongChi-Jen LuPublished in: NIPS (2017)
Keyphrases
- stochastic games
- reinforcement learning
- reinforcement learning algorithms
- markov decision processes
- multi agent reinforcement learning
- multiagent reinforcement learning
- average reward
- multi agent
- rl algorithms
- state space
- state action
- nash equilibria
- learning agent
- single agent
- temporal difference
- learning automata
- nash equilibrium
- robust optimization
- machine learning
- function approximation
- infinite horizon
- finite state
- multiagent systems
- dynamic programming
- e learning
- learning algorithm