Reinforcement Learning for SBM Graphon Games with Re-Sampling.
Peihan HuoOscar PeraltaJunyu GuoQiaomin XieAndreea MincaPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- action sets
- learning agents
- reinforcement learning agents
- function approximation
- learning algorithm
- video games
- game theory
- random sampling
- computer games
- game playing
- sample size
- state space
- multi agent
- markov decision processes
- multi agent reinforcement learning
- model free
- game theoretic
- sampling strategy
- multiagent learning
- reinforcement learning algorithms
- robotic control
- game play
- game design
- machine learning
- learning process
- dynamic programming
- imperfect information
- function approximators
- nash equilibria
- sampling methods
- temporal difference
- optimal policy
- stochastic games
- markov chain
- coalitional games
- game players
- nash equilibrium
- search algorithm
- e learning
- optimal control