Emergent Coordination Through Competition

19 February 2019

Papers citing "Emergent Coordination Through Competition"

31 / 31 papers shown

Title
Enabling Multi-Robot Collaboration from Single-Human Guidance Zhengran Ji Lingyu Zhang Paul Sajda Boyuan Chen 34 1 0 30 Sep 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 50 4 0 12 Apr 2024
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 51 3 0 23 Oct 2023
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory Calvin Yeung Keisuke Fujii 16 8 0 27 Jul 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 39 140 0 26 Apr 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 26 17 0 15 Feb 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 18 0 0 19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 35 108 0 18 Jan 2023
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 31 5 0 21 Sep 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
NeuPL: Neural Population Learning Siqi Liu Luke Marris Daniel Hennes J. Merel N. Heess T. Graepel 30 17 0 15 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 28 68 0 29 Nov 2021
How does AI play football? An analysis of RL and real-world football strategies Atom Scott Keisuke Fujii Masaki Onishi 50 13 0 24 Nov 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 32 25 0 08 Oct 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments Lifeng Zhou Pratap Tokekar 34 43 0 02 May 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 6 0 13 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih Arjun Sawhney J. Kondic Stefano Ermon Dorsa Sadigh 36 37 0 07 Apr 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 22 67 0 14 Mar 2021
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 11 42 0 08 Jun 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 20 89 0 27 Sep 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 11 398 0 25 Jul 2019
Arena: a toolkit for Multi-Agent Reinforcement Learning Qing Wang Jiechao Xiong Lei Han Meng Fang Xinghai Sun Zhuobin Zheng Peng Sun Zhengyou Zhang 26 4 0 20 Jul 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 19 33 0 17 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 29 127 0 15 May 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 17 119 0 04 Mar 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 32 550 0 12 Oct 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning Jiachen Yang A. Nakhaei David Isele K. Fujimura H. Zha 21 75 0 13 Sep 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 134 928 0 07 Jul 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 114 595 0 28 Feb 2017