A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

2 November 2017

Julien Perolat

David Silver

T. Graepel

ArXiv PDF HTML

Papers citing "A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning"

33 / 133 papers shown

Title
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 53 413 0 11 Aug 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 18 1 0 18 Jul 2019
An intelligent financial portfolio trading strategy using deep Q-learning Hyungju Park M. Sim D. Choi AIFin 17 86 0 08 Jul 2019
On the Convergence of Model Free Learning in Mean Field Games Romuald Elie Julien Pérolat Mathieu Laurière M. Geist Olivier Pietquin 30 89 0 04 Jul 2019
Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control Ismael T. Freire X. Arsiwalla J. Puigbò P. Verschure AI4CE 24 14 0 29 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 27 349 0 25 May 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 27 33 0 17 May 2019
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes Stefan Rudolph Sven Tomforde J. Hähner 38 1 0 10 May 2019
Bayesian policy selection using active inference Ozan Çatal J. Nauta Tim Verbelen Pieter Simoens Bart Dhoedt BDL 43 32 0 17 Apr 2019
Deep Fictitious Play for Stochastic Differential Games Ruimeng Hu 27 29 0 22 Mar 2019
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning Xiaobai Ma Katherine Driggs-Campbell Mykel J. Kochenderfer AAML 26 48 0 08 Mar 2019
$α$ -Rank: Multi-Agent Evaluation by Evolution Shayegan Omidshafiei Christos H. Papadimitriou Georgios Piliouras K. Tuyls Mark Rowland Jean-Baptiste Lespiau Wojciech M. Czarnecki Marc Lanctot Julien Perolat Rémi Munos 27 120 0 04 Mar 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suárez Yilun Du Phillip Isola Igor Mordatch 16 71 0 02 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research Joel Z Leibo Edward Hughes Marc Lanctot T. Graepel 27 106 0 02 Mar 2019
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network Xihan Li Jia Zhang Jiang Bian Yunhai Tong Tie-Yan Liu 17 54 0 02 Mar 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 47 148 0 19 Feb 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games L. Graesser Kyunghyun Cho Douwe Kiela LLMAG AI4CE 25 70 0 25 Jan 2019
Open-ended Learning in Symmetric Zero-sum Games David Balduzzi M. Garnelo Yoram Bachrach Wojciech M. Czarnecki Julien Perolat Max Jaderberg T. Graepel 21 167 0 23 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 8 148 0 21 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 45 551 0 12 Oct 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 29 64 0 09 Sep 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 43 714 0 03 Jul 2018
Beyond Local Nash Equilibria for Adversarial Networks F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol R. Groß GAN 26 43 0 18 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 30 97 0 07 Jun 2018
Depth-Limited Solving for Imperfect-Information Games Noam Brown T. Sandholm Brandon Amos 23 80 0 21 May 2018
Emergent Communication through Negotiation Kris Cao Angeliki Lazaridou Marc Lanctot Joel Z Leibo K. Tuyls S. Clark 19 154 0 11 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 43 582 0 23 Feb 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 54 466 0 21 Feb 2018
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 53 536 0 13 Sep 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 134 595 0 28 Feb 2017