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

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

2 March 2021
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
    OffRL
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Papers citing "The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games"

50 / 168 papers shown
Title
Mimicry and the Emergence of Cooperative Communication
Mimicry and the Emergence of Cooperative Communication
Dylan R. Cope
Peter McBurney
27
0
0
26 May 2024
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
69
1
0
26 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement
  Learning
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Zun Li
Michael P. Wellman
29
1
0
30 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
29
6
0
22 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Pengdeng Li
Shuxin Li
Xinrun Wang
Jakub Cerny
Youzhi Zhang
Stephen McAleer
Hau Chan
Bo An
42
1
0
19 Apr 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang
Zeyuan Wang
Qiushi Lyu
Zheyuan Zhang
Sunli Chen
Tianmin Shu
Yilun Du
Kwonjoon Lee
Yilun Du
Chuang Gan
48
12
0
16 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable
  Collaboration
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
Xudong Guo
Daming Shi
Junjie Yu
Wenhui Fan
38
4
0
05 Apr 2024
Task-priority Intermediated Hierarchical Distributed Policies:
  Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
Yusei Naito
Tomohiko Jimbo
Tadashi Odashima
Takamitsu Matsubara
36
1
0
02 Apr 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer
Luigi Berducci
P. Priller
D. Ničković
Radu Grosu
44
1
0
26 Mar 2024
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
Yiqun Chen
Jiaxin Mao
Yi Zhang
Dehong Ma
Long Xia
Jun Fan
Daiting Shi
Zhicong Cheng
Simiu Gu
Dawei Yin
21
2
0
26 Mar 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
32
4
0
24 Mar 2024
Scaling Team Coordination on Graphs with Reinforcement Learning
Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu
Zechen Hu
Xuan Wang
Daigo Shishika
Xuesu Xiao
26
4
0
09 Mar 2024
Learning Translations: Emergent Communication Pretraining for
  Cooperative Language Acquisition
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Dylan R. Cope
Peter McBurney
32
0
0
26 Feb 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
Yang Li
Wenhao Zhang
Jianhong Wang
Shao Zhang
Yali Du
Ying Wen
Wei Pan
26
1
0
19 Feb 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent
  Deep Reinforcement Learning
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau
Nicolas Bredeche
F. Benamar
Jae-Yun Jun
33
1
0
06 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
46
22
0
25 Jan 2024
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV)
  Trajectory Design for 3D UAV Tracking
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Yujiao Zhu
Ming Chen
Sihua Wang
Ye Hu
Yuchen Liu
Changchuan Yin
13
5
0
22 Jan 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Simin Li
Shuhao Liao
Wenjun Wu
32
9
0
30 Dec 2023
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
31
3
0
30 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep
  reinforcement learning
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
28
3
0
27 Dec 2023
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
36
4
0
25 Dec 2023
Sparse Mean Field Load Balancing in Large Localized Queueing Systems
Sparse Mean Field Load Balancing in Large Localized Queueing Systems
Anam Tahir
Kai Cui
Heinz Koeppl
24
0
0
20 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
33
8
0
15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative
  MARL
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
Wiem Khlifi
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Abidine Vall
R. Gorsane
Arnu Pretorius
33
1
0
13 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
34
15
0
03 Dec 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play
Reward Shaping for Improved Learning in Real-time Strategy Game Play
John Kliem
Prithviraj Dasgupta
OffRL
11
1
0
27 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent
  Reinforcement Learning
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang
Huiping Li
Di Cui
Demin Xu
OffRL
21
0
0
01 Nov 2023
Active Neural Topological Mapping for Multi-Agent Exploration
Active Neural Topological Mapping for Multi-Agent Exploration
Xinyi Yang
Yuxiang Yang
Chao Yu
Jiayu Chen
Jingchen Yu
Haibing Ren
Huazhong Yang
Yu Wang
31
5
0
01 Nov 2023
Iteratively Learn Diverse Strategies with State Distance Information
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
Influence of Team Interactions on Multi-Robot Cooperation: A Relational
  Network Perspective
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik
Hamid Osooli
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
30
5
0
19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen
  Malfunctions in Multi-Robot Teams
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
29
2
0
19 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
28
8
0
08 Oct 2023
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
E. V. D. Sar
Alessandro Zocca
S. Bhulai
30
0
0
04 Oct 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative
  Entropy Regularization
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization
Chenyang Miao
Yunduan Cui
Huiyun Li
Xin Wu
24
5
0
26 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu
Feng Gao
Chao Yu
Ruize Zhang
Yi Wu
Yu Wang
28
28
0
22 Sep 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent
  Reinforcement Learning
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning
Jacob Wiebe
Ranwa Al Mallah
Li Li
AAML
33
3
0
25 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
32
5
0
22 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for
  Efficient Decentralized Coordination and Independent Decision-Making
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
Giovanni Minelli
Mirco Musolesi
33
0
0
21 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent
  Policy Optimization
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization
Mohammad Mehdi Nasiri
M. Rezghi
35
0
0
13 Aug 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
23
7
0
04 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
AAML
32
7
0
03 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State
  Prediction
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Josh Bloom
Pranjal Paliwal
Apratim Mukherjee
Carlo Pinciroli
22
3
0
22 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative
  Multi-Agent Reinforcement Learning
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
Cheng Chen
Kai Zhang
Chao Yu
Jianye Hao
35
1
0
14 Jun 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Yanhao Huang
Jie Song
31
17
0
27 May 2023
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep
  Reinforcement Learning
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning
V. Moschopoulos
Pantelis Kyriakidis
A. Lazaridis
I. Vlahavas
16
0
0
25 May 2023
Constrained Proximal Policy Optimization
Constrained Proximal Policy Optimization
Chengbin Xuan
Feng Zhang
Faliang Yin
H. Lam
16
0
0
23 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
35
5
0
18 May 2023
Mixture of personality improved Spiking actor network for efficient
  multi-agent cooperation
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
53
4
0
10 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Keyang He
Prashant Doshi
Bikramjit Banerjee
OffRL
23
3
0
09 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent
  Reinforcement Learning
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
Yulai Zhao
Zhuoran Yang
Zhaoran Wang
Jason D. Lee
40
3
0
08 May 2023
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