S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Shuang LuoYinchuan LiJiahui LiKun KuangFurui LiuYunfeng ShaoChao WuPublished in: KDD (2022)
Keyphrases
- multi agent reinforcement learning
- reinforcement learning
- learning agents
- multi agent
- stochastic games
- multi agent learning
- multi agent systems
- state action
- cooperative
- function approximation
- state transitions
- distributed control
- learning strategies
- state variables
- learning agent
- markov decision processes
- neural network