Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation.
Qiwen CuiKaiqing ZhangSimon S. DuPublished in: COLT (2023)
Keyphrases
- function approximation
- reinforcement learning algorithms
- markov games
- reinforcement learning
- state space
- temporal difference learning algorithms
- function approximators
- model free
- markov decision processes
- temporal difference
- reinforcement learning problems
- markov decision process
- temporal difference learning
- reinforcement learning methods
- control problems
- td learning
- multiagent reinforcement learning
- learning tasks
- radial basis function
- stochastic games
- optimal policy
- multi agent
- learning algorithm
- partially observable
- action space
- particle filter
- rl algorithms
- markov decision problems
- actor critic
- machine learning
- genetic algorithm
- learning process
- artificial neural networks
- dynamic programming