The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

2 March 2021

Chao Yu

Papers citing "The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games"

50 / 184 papers shown

Title
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Cen Chen Kai Zhang Chao Yu Jianye Hao 43 1 0 14 Jun 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Jie Song Mingli Song 34 18 0 27 May 2023
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning V. Moschopoulos Pantelis Kyriakidis A. Lazaridis I. Vlahavas 20 0 0 25 May 2023
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 26 0 0 23 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 46 5 0 18 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers Lei Yuan Zifei Zhang Ke Xue Hao Yin F. Chen Cong Guan Lihe Li Chao Qian Yang Yu AAML 34 17 0 10 May 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation Xiyun Li Ziyi Ni Jingqing Ruan Linghui Meng Jing Shi Tielin Zhang Bo Xu 61 4 0 10 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 28 3 0 09 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 45 3 0 08 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 33 3 0 04 May 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
The challenge of redundancy on multi-agent value factorisation Siddarth S. Singh Benjamin Rosman 42 1 0 28 Mar 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia P. Sycara 39 15 0 23 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility Malintha Fernando Ransalu Senanayake Heeyoul Choi Martin Swany 37 4 0 14 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 30 1 0 12 Feb 2023
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition Elliot Fosong Arrasy Rahman Ignacio Carlucho Stefano V. Albrecht 30 5 0 09 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 33 13 0 06 Feb 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased Chao Yu Jiaxuan Gao Weiling Liu Bo Xu Hao Tang Jiaqi Yang Yu Wang Yi Wu 31 39 0 03 Feb 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 28 5 0 02 Feb 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework Zongwei Liu Yonghong Song Yuanlin Zhang OffRL 35 2 0 10 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 35 36 0 09 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 37 56 0 08 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 47 5 0 05 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism Xudong Guo Daming Shi Wenhui Fan 22 5 0 05 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 33 84 0 14 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 29 7 0 10 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 28 1 0 06 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 35 23 0 06 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 50 7 0 05 Dec 2022
Satellite Navigation and Coordination with Limited Information Sharing Sydney I. Dolan Siddharth Nayak H. Balakrishnan 28 5 0 07 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey Harrison Kurunathan Hailong Huang Kai Li Wei Ni Ekram Hossain 28 70 0 07 Nov 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 19 8 0 06 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 17 29 0 03 Nov 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning Yiqun Chen Hangyu Mao Jiaxin Mao Shiguang Wu Tianle Zhang Bin Zhang Bin Wang Hong Chang OffRL 41 7 0 17 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 23 16 0 13 Oct 2022
Human-AI Coordination via Human-Regularized Search and Learning Hengyuan Hu David J. Wu Adam Lerer Jakob N. Foerster Noam Brown 19 7 0 11 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 24 7 0 04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 16 6 0 03 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning Filippos Christianos Georgios Papoudakis Stefano V. Albrecht 35 4 0 28 Sep 2022
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs T. Langerak Sammy Christen Mert Albaba Christoph Gebhardt Otmar Hilliges OffRL 22 0 0 26 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 44 50 0 21 Sep 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning Yuchen Xiao Weihao Tan Chris Amato OffRL 64 19 0 20 Sep 2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control Kai Cui Mengguang Li Christian Fabian Heinz Koeppl AI4CE 47 5 0 15 Sep 2022
Decentralized Coordination in Partially Observable Queueing Networks Jiekai Jia Anam Tahir Heinz Koeppl 39 1 0 29 Aug 2022
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N Tianyu Zhang Andrew Robert Williams Soham R. Phade Sunil Srinivasa Yang Zhang Prateek Gupta Yoshua Bengio Stephan Zheng AI4CE 27 21 0 15 Aug 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games Zihan Ding DiJia Su Qinghua Liu Chi Jin 33 3 0 18 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked Systems Yali Du Chengdong Ma Yuchen Liu Runji Lin Hao Dong Jun Wang Yaodong Yang 34 8 0 13 Jul 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning Matteo Bettini Ryan Kortvelesy J. Blumenkamp Amanda Prorok 21 36 0 07 Jul 2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios Jiajun Chai Yuanheng Zhu Dongbin Zhao 28 0 0 03 Jul 2022