A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning.

Lanctot, Marc, Zambaldi, Vinícius Flores, Gruslys, Audrunas, Lazaridou, Angeliki, Tuyls, Karl, Pérolat, Julien, Silver, David and Graepel, Thore (2017) A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. In: NIPS, 2017-12-4 - 2017-11-9, Long Beach, California.

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Official URL: https://proceedings.neurips.cc/paper/2017

Item Type:	Conference or Workshop Item (Unspecified)
Depositing User:	Symplectic Admin
Date Deposited:	04 Dec 2017 10:56
Last Modified:	19 Jan 2023 06:51
Open Access URL:	https://arxiv.org/abs/1711.00832
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3011566