Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning

Author:

Peng Jiahao,Sugawara ToshiharuORCID

Publisher

Springer International Publishing

Reference13 articles.

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2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);EAO Diallo,2018

3. Henderson, P., Islam, R., Bachman, P., Pineau, J., Precup, D., Meger, D.: Deep reinforcement learning that matters. CoRR abs/1709.06560 (2017). http://arxiv.org/abs/1709.06560

4. Huang, K., Chen, X., Yu, Z., Yang, C., Gui, W.: Heterogeneous cooperative belief for social dilemma in multi-agent system. Appl. Math. Comput. 320, 572–579 (2018)

5. Kim, D., et al.: Learning to schedule communication in multi-agent reinforcement learning. arXiv preprint arXiv:1902.01554 (2019)

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