Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking.
Yue WangYao WanChenwei ZhangLixin CuiLu BaiPhilip S. YuPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- multi agent
- state space
- function approximation
- model free
- multi agent environments
- single agent
- artificial intelligence
- cooperative
- reinforcement learning algorithms
- learning agents
- learning algorithm
- optimal control
- multi agent reinforcement learning
- optimal policy
- machine learning
- supervised learning
- multi agent systems
- reinforcement learning agents
- multiagent systems
- intelligent agents
- action selection
- reinforcement learning methods
- agent oriented
- agent based simulations
- learning problems
- markov decision processes
- autonomous agents
- complex domains
- partially observable
- temporal difference
- logical framework
- action space
- coalition formation
- agent communication
- policy gradient
- multiagent reinforcement learning
- transfer learning
- dynamic environments