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: CoRR (2023)
Keyphrases
- function approximation
- reinforcement learning algorithms
- markov games
- reinforcement learning
- state space
- temporal difference learning algorithms
- model free
- function approximators
- markov decision processes
- temporal difference
- markov decision process
- temporal difference learning
- reinforcement learning problems
- multiagent reinforcement learning
- reinforcement learning methods
- optimal policy
- stochastic games
- actor critic
- learning tasks
- policy iteration
- td learning
- control problems
- dynamic programming
- radial basis function
- learning algorithm
- machine learning
- markov decision problems
- state variables
- dynamic environments