Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory

17 January 2020

Papers citing "Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory"

6 / 6 papers shown

Title
Combining No-regret and Q-learning Ian A. Kash Michael Sullins Katja Hofmann OffRL 22 16 0 07 Oct 2019
Finding Friend and Foe in Multi-Agent Games Jack Serrino Max Kleiman-Weiner David C. Parkes J. Tenenbaum 16 59 0 05 Jun 2019
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 118 1,584 0 05 Feb 2018
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 24 397 0 03 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 142 8,805 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 130 13,174 0 09 Sep 2015