Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations.
Yongyuan LiangYanchao SunRuijie ZhengXiangyu LiuBenjamin EysenbachTuomas SandholmFurong HuangStephen Marcus McAleerPublished in: ICLR (2024)
Keyphrases
- game theoretic
- reinforcement learning
- game theory
- decision problems
- multiagent learning
- nash equilibrium
- agent programming
- resource allocation
- imperfect information
- trust model
- optimal policy
- function approximation
- regret minimization
- machine learning
- partially observable
- markov decision processes
- cooperative
- learning algorithm
- combinatorial auctions
- robust optimization
- multi agent systems
- minority game