Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

4 November 2018

Papers citing "Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning"

38 / 88 papers shown

Title
Off-Belief Learning Hengyuan Hu Adam Lerer Brandon Cui David J. Wu Luis Pineda Noam Brown Jakob N. Foerster OffRL 20 69 0 06 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning Hadi Nekoei Akilesh Badrinaaraayanan Aaron Courville Sarath Chandar CLL OffRL 27 40 0 04 Mar 2021
Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams D. Kartik A. Nayyar U. Mitra 16 12 0 11 Feb 2021
Neural Recursive Belief States in Multi-Agent Reinforcement Learning Pol Moreno Edward Hughes Kevin R. McKee Bernardo Avila-Pires T. Weber 31 21 0 03 Feb 2021
Theory of Mind for Deep Reinforcement Learning in Hanabi Andrew Fuchs Michael Walton Theresa Chadwick Doug Lange 45 11 0 22 Jan 2021
Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota Edward Lockhart Finbarr Timbers Elnaz Davoodi Ryan DÓrazio Neil Burch Martin Schmid Michael Bowling Marc Lanctot 44 22 0 11 Jan 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning L. Zintgraf Sam Devlin K. Ciosek Shimon Whiteson Katja Hofmann BDL 21 42 0 11 Jan 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 42 200 0 15 Dec 2020
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations Kalesha Bullard Franziska Meier Douwe Kiela Joelle Pineau Jakob N. Foerster 31 17 0 29 Oct 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 25 12 0 18 Sep 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information Yuandong Tian Qucheng Gong Tina Jiang 42 19 0 14 Aug 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown A. Bakhtin Adam Lerer Qucheng Gong 25 133 0 27 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 28 169 0 07 Jul 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 24 42 0 08 Jun 2020
Incorporating Pragmatic Reasoning Communication into Emergent Language Yipeng Kang Tonghan Wang Gerard de Melo LLMAG LRM AI4CE 18 21 0 07 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 48 197 0 03 Jun 2020
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi Rodrigo Canaan Xianbo Gao Julian Togelius Andy Nealen Stefan Menzel 20 11 0 28 Apr 2020
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners Rodrigo Canaan Xianbo Gao Youjin Chung Julian Togelius Andy Nealen Stefan Menzel 19 4 0 28 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020
Emergent Communication with World Models Alexander I. Cowen-Rivers Jason Naradowsky 22 7 0 22 Feb 2020
Emergence of Pragmatics from Referential Game between Theory of Mind Agents Luyao Yuan Zipeng Fu Jingyue Shen Lu Xu Junhong Shen Song-Chun Zhu LLMAG 24 16 0 21 Jan 2020
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 27 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 24 82 0 04 Dec 2019
Option-Critic in Cooperative Multi-agent Systems Jhelum Chakravorty Nadeem Ward Julien Roy Maxime Chevalier-Boisvert Sumana Basu Andrei Lupu Doina Precup 17 30 0 28 Nov 2019
Learning to Communicate in Multi-Agent Reinforcement Learning : A Review Mohamed Salah Zaïem Etienne Bennequin 33 13 0 13 Nov 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths S. Seshia Pieter Abbeel Anca Dragan HAI 25 382 0 13 Oct 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 30 248 0 26 Aug 2019
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning Julien Roy Paul Barde Félix G. Harvey Derek Nowrouzezahrai C. Pal 19 3 0 06 Aug 2019
Diverse Agents for Ad-Hoc Cooperation in Hanabi Rodrigo Canaan Julian Togelius Andy Nealen Stefan Menzel 6 45 0 08 Jul 2019
Rethinking Formal Models of Partially Observable Multiagent Decision Making Vojtěch Kovařík Martin Schmid Neil Burch Michael Bowling Viliam Lisý OffRL 28 54 0 26 Jun 2019
On the Pitfalls of Measuring Emergent Communication Ryan J. Lowe Jakob N. Foerster Y-Lan Boureau Joelle Pineau Yann N. Dauphin 28 131 0 12 Mar 2019
Re-determinizing Information Set Monte Carlo Tree Search in Hanabi J. Goodman 25 14 0 16 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 15 351 0 01 Feb 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Learning to Communicate Implicitly By Actions Zheng Tian Shihao Zou Ian Davies Tim Warr Lisheng Wu Haitham Bou-Ammar Jun Wang 30 24 0 10 Oct 2018
Target Transfer Q-Learning and Its Convergence Analysis Yue Wang Qi Meng Wei Cheng Yuting Liu Zhiming Ma Tie-Yan Liu 22 30 0 21 Sep 2018