Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach

Author:

Wickramaarachchi HelaniORCID,Kirley MichaelORCID,Geard NicholasORCID

Publisher

Springer Nature Singapore

Reference29 articles.

1. Yang, J., Borovikov, I., Zha, H.: Hierarchical cooperative multi-agent reinforcement learning with skill discovery. In: Adaptive Agents and Multi-Agent Systems (2019)

2. Multi-agent Reinforcement Learning: Independent vs. Cooperative Agents. Morgan Kaufmann Publishers Inc., San Francisco (1997)

3. Hu, Z., Zhao, D.: Reinforcement learning for multi-agent patrol policy. In: 9th IEEE International Conference on Cognitive Informatics (ICCI’10), pp. 530–535 (2010)

4. Claus, C., Boutilier, C.: The dynamics of reinforcement learning in cooperative multiagent systems. In: AAAI/IAAI (1998)

5. Rashid, T., Samvelyan, M., De Witt, C.S., Farquhar, G., Foerster, J., Whiteson, S.: QMIX: monotonic value function factorisation for deep multi-agent reinforcement learning (2018). ArXiv, abs/1803.11485

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