Emergent Complexity via Multi-Agent Competition

10 October 2017

Papers citing "Emergent Complexity via Multi-Agent Competition"

50 / 69 papers shown

Title
Learning Strategy Representation for Imitation Learning in Multi-Agent Games Shiqi Lei Kanghon Lee Linjing Li Jinkyoo Park OffRL 42 0 0 17 Feb 2025
A Survey on Self-play Methods in Reinforcement Learning Chao Yu Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 51 8 0 02 Aug 2024
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach Nhat-Minh Huynh Hoang-Giang Cao I-Chen Wu 16 2 0 30 Jun 2024
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z Leibo GNN 31 28 0 22 May 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 43 2 0 30 Jan 2024
Policy-Based Self-Competition for Planning Problems Jonathan Pirnay Q. Göttl Jakob Burger D. G. Grimm 36 3 0 07 Jun 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 50 140 0 26 Apr 2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning Chenglu Sun Yi-cui Zhang Yu Zhang Ziling Lu Jingbin Liu Si-Qi Xu Weidong Zhang 25 0 0 20 Apr 2023
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning Hao Chen Chen Gong Yizhen Wang Xinwen Hou AAML 24 1 0 01 Apr 2023
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment A. Tasbas S. O. Sahin N. K. Üre 15 3 0 06 Mar 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen Wei Liu 32 12 0 07 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 33 5 0 30 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 28 27 0 24 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 21 7 0 07 Oct 2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment Yilei Zeng Jiali Duan Yong Li Emilio Ferrara Lerrel Pinto Chloe Kuo Stefanos Nikolaidis 51 3 0 04 Aug 2022
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning Tianhao Wu Fangwei Zhong Yiran Geng Hongchen Wang Yongjian Zhu Yizhou Wang Hao Dong 27 8 0 04 Mar 2022
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge Meng Yao Qiyue Yin Jun Yang Tongtong Yu S. Shen Junge Zhang Bin Liang Kaiqi Huang 27 5 0 07 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 31 69 0 29 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 33 5 0 05 Nov 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 33 19 0 14 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization E. Kargar Ville Kyrki 16 2 0 02 Sep 2021
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi H. Siu Jaime D. Peña Edenna Chen Yutai Zhou Victor J. Lopez Kyle Palko K. Chang R. Allen 16 57 0 15 Jul 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 129 0 25 May 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 33 19 0 25 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 14 27 0 22 Nov 2020
Competing AI: How does competition feedback affect machine learning? Antonio A. Ginart Eva Zhang Yongchan Kwon James Zou AAML 20 0 0 15 Sep 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 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 16 42 0 08 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 29 64 0 07 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 15 15 0 07 May 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 28 131 0 28 Apr 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 19 125 0 19 Mar 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles Songan Zhang H. Peng S. Nageshrao E. Tseng AAML 24 5 0 18 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 19 167 0 10 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 66 26 0 09 Mar 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 39 124 0 17 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 17 80 0 06 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 41 1,795 0 13 Dec 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 26 19 0 18 Sep 2019
Segregation Dynamics with Reinforcement Learning and Agent Based Modeling Egemen Sert Y. Bar-Yam A. Morales 16 39 0 18 Sep 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
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
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019