Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients - researchr publication authors

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Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar A. Duéñez-Guzmán, Karl Tuyls. Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. In Amal El Fallah-Seghrouchni, Gita Sukthankar, Bo An 0001, Neil Yorke-Smith, editors, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020. pages 492-501, International Foundation for Autonomous Agents and Multiagent Systems, 2020. [doi]

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