Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability - researchr publication authors

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Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian. Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. In Doina Precup, Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. Volume 70 of JMLR Workshop and Conference Proceedings, pages 2681-2690, JMLR.org, 2017. [doi]

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