Risk-attitudes, Trust, and Emergence of Coordination in Multi-agent Reinforcement Learning Systems: A Study of Independent Risk-sensitive REINFORCE
Author:
Affiliation:
1. Engineering and the Institute for System Research (ISR) at the University of Maryland,Department of Electrical and Computer,College Park,MD,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838097.pdf?arnumber=9838097
Reference28 articles.
1. Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents
2. Deep multi-agent Rein-forcement Learning Using DNN-weight Evolution to Optimize Supply Chain Performance;fuji;Proceedings of the Hawaiian International Conference on System Sciences,0
3. Multiagent cooperation and competition with deep reinforcement learning
4. Stabilising Experience Replay for Deep Multi-agent Reinforcement Learning;foerster;International Conference on Machine Learning,0
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