Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.
Zhenggang TangChao YuBoyuan ChenHuazhe XuXiaolong WangFei FangSimon Shaolei DuYu WangYi WuPublished in: ICLR (2021)
Keyphrases
- multi agent
- reinforcement learning
- multi agent environments
- wide variety
- cognitive agents
- human behavior
- intelligent agents
- agent behavior
- multiagent systems
- privacy preserving
- case study
- decision making
- social networks
- real world
- multi agent systems
- database
- cooperative
- software agents
- single agent
- agent based models
- machine learning
- strategic planning