Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking.
Yue WangYao WanChenwei ZhangLu BaiLixin CuiPhilip S. YuPublished in: ICDM (2019)
Keyphrases
- reinforcement learning
- multi agent
- multi agent systems
- learning algorithm
- function approximation
- cooperative
- single agent
- reinforcement learning algorithms
- state space
- optimal policy
- artificial intelligence
- multi agent environments
- intelligent agents
- markov decision processes
- multi agent reinforcement learning
- software agents
- reinforcement learning agents
- multiagent systems
- partially observable
- traffic signal control
- dynamic programming
- learning agents
- deep learning
- supervised learning
- autonomous agents
- temporal difference
- optimal control
- neural network
- coalition formation
- transfer learning
- hidden markov models
- decision problems
- human cognitive