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Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

23 September 2021
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
ArXivPDFHTML

Papers citing "Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning"

50 / 116 papers shown
Title
MARFT: Multi-Agent Reinforcement Fine-Tuning
MARFT: Multi-Agent Reinforcement Fine-Tuning
Junwei Liao
Muning Wen
J. Wang
W. Zhang
OffRL
31
0
0
20 May 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
Zelai Xu
Chao Yu
Ruize Zhang
Huining Yuan
Xiangmin Yi
...
Wenhao Tang
Yu-Xiang Wang
Wenbo Ding
Xinlei Chen
Yu Wang
135
0
0
20 May 2025
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
20 May 2025
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination
Delin Zhao
Yanbo Shan
Chang Liu
Shenghang Lin
Yingxin Shou
Bin Xu
23
0
0
09 Apr 2025
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Sicong Liu
Yang Shu
Chenjuan Guo
Bin Yang
OffRL
58
3
0
27 Mar 2025
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
Xu Wan
Chao Yang
Cheng Yang
Jie Song
Mingyang Sun
63
0
0
03 Mar 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
C. Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
76
2
0
18 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Beining Zhang
Aditya Kapoor
Mingfei Sun
54
0
0
08 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
Woojun Kim
Katia P. Sycara
OffRL
89
0
0
30 Jan 2025
CORD: Generalizable Cooperation via Role Diversity
CORD: Generalizable Cooperation via Role Diversity
Kanefumi Matsuyama
Kefan Su
Jiangxing Wang
Deheng Ye
Zongqing Lu
40
0
0
04 Jan 2025
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC
Yue Deng
Yan Yu
Weiyu Ma
Zirui Wang
Wenhui Zhu
Jian Zhao
Yin Zhang
AAML
35
1
0
23 Dec 2024
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via
  Suggestion Sharing
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
Yue Jin
Shuangqing Wei
Giovanni Montana
67
0
0
16 Dec 2024
CPIG: Leveraging Consistency Policy with Intention Guidance for
  Multi-agent Exploration
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration
Y. Fu
Yuanheng Zhu
Haoran Li
Zijie Zhao
Jiajun Chai
Dongbin Zhao
37
0
0
06 Nov 2024
Communication Learning in Multi-Agent Systems from Graph Modeling
  Perspective
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
AI4CE
42
0
0
01 Nov 2024
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and
  Replenishment
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment
Yi Zheng
Zehao Li
Peng Jiang
Yijie Peng
22
0
0
28 Oct 2024
Multi-Agent Reinforcement Learning with Selective State-Space Models
Multi-Agent Reinforcement Learning with Selective State-Space Models
Jemma Daniel
Ruan de Kock
Louay Ben Nessir
Sasha Abramowitz
Omayma Mahjoub
Wiem Khlifi
Claude Formanek
Arnu Pretorius
Mamba
34
0
0
25 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through
  Generative World Model
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
22
2
0
03 Oct 2024
Choices are More Important than Efforts: LLM Enables Efficient
  Multi-Agent Exploration
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
Yun Qu
Boyuan Wang
Yuhang Jiang
Jianzhun Shao
Yixiu Mao
Cheems Wang
Chang Liu
Xiangyang Ji
46
4
0
03 Oct 2024
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with
  Stationary Distribution Shift Regularization
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
The Viet Bui
Thanh Hong Nguyen
Tien Mai
OffRL
28
0
0
02 Oct 2024
Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games
Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games
Naming Liu
Mingzhi Wang
Xihuai Wang
Weinan Zhang
Yaodong Yang
Youzhi Zhang
Bo An
Ying Wen
29
0
0
02 Oct 2024
An Introduction to Centralized Training for Decentralized Execution in
  Cooperative Multi-Agent Reinforcement Learning
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
Christopher Amato
OffRL
31
9
0
04 Sep 2024
Two-Timescale Synchronization and Migration for Digital Twin Networks: A
  Multi-Agent Deep Reinforcement Learning Approach
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach
Wenshuai Liu
Yaru Fu
Yongna Guo
Fu Lee Wang
Wen Sun
Yan Zhang
26
5
0
02 Sep 2024
Hokoff: Real Game Dataset from Honor of Kings and its Offline
  Reinforcement Learning Benchmarks
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
Yun Qu
Boyuan Wang
Jianzhun Shao
Yuhang Jiang
Chen Chen
...
Qiang Fu
Wei Yang
Guang Yang
Lanxiao Huang
Xiangyang Ji
OffRL
48
9
0
20 Aug 2024
Improving Global Parameter-sharing in Physically Heterogeneous
  Multi-agent Reinforcement Learning with Unified Action Space
Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space
Xiaoyang Yu
Youfang Lin
Shuo Wang
Kai Lv
Sheng Han
40
0
0
14 Aug 2024
Multi-Agent Continuous Control with Generative Flow Networks
Multi-Agent Continuous Control with Generative Flow Networks
Shuang Luo
Yinchuan Li
Shunyu Liu
Xu Zhang
Yunfeng Shao
Chao Wu
AI4CE
27
2
0
13 Aug 2024
The Bandit Whisperer: Communication Learning for Restless Bandits
The Bandit Whisperer: Communication Learning for Restless Bandits
Yunfan Zhao
Tonghan Wang
Dheeraj M. Nagaraj
Aparna Taneja
Milind Tambe
49
5
0
11 Aug 2024
A Survey on Self-play Methods in Reinforcement Learning
A Survey on Self-play Methods in Reinforcement Learning
Ruize Zhang
Zelai Xu
Chengdong Ma
Chao Yu
Weijuan Tu
...
Deheng Ye
Wenbo Ding
Yaodong Yang
Yu Wang
Yu Wang
SyDa
SSL
OnRL
49
8
0
02 Aug 2024
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance
  Performance and Efficiency
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency
Wenjing Zhang
Wei Zhang
Wenqing Hu
Yifan Wang
OffRL
23
0
0
21 Jul 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical
  Environments
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
Runfa Chen
Ling Wang
Yu Du
Tianrui Xue
Fuchun Sun
Jianwei Zhang
Wenbing Huang
OffRL
49
1
0
17 Jul 2024
Decentralized Transformers with Centralized Aggregation are
  Sample-Efficient Multi-Agent World Models
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Yang Zhang
Chenjia Bai
Bin Zhao
Junchi Yan
Xiu Li
Xuelong Li
OffRL
27
0
0
22 Jun 2024
Mini Honor of Kings: A Lightweight Environment for Multi-Agent
  Reinforcement Learning
Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
Lin Liu
Jian Zhao
Cheng Hu
Zhengtao Cao
Youpeng Zhao
...
Wenjun Wang
Zhaofeng He
Houqiang Li
Xia Lin
Lanxiao Huang
OffRL
SyDa
34
0
0
06 Jun 2024
Representation Learning For Efficient Deep Multi-Agent Reinforcement
  Learning
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
Dom Huh
Prasant Mohapatra
32
1
0
05 Jun 2024
Safe Multi-agent Reinforcement Learning with Natural Language
  Constraints
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang
Meng Fang
Tristan Tomilin
Fei Fang
Yali Du
LLMAG
64
7
0
30 May 2024
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in
  Autonomous Driving
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
Zhi Zheng
Shangding Gu
37
2
0
28 May 2024
Reinforcing Language Agents via Policy Optimization with Action
  Decomposition
Reinforcing Language Agents via Policy Optimization with Action Decomposition
Muning Wen
Ziyu Wan
Weinan Zhang
Jun Wang
Ying Wen
43
7
0
23 May 2024
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Yang Zhang
Shixin Yang
Chenjia Bai
Fei Wu
Xiu Li
Zhen Wang
Xuelong Li
LLMAG
36
25
0
23 May 2024
Learning Multi-Agent Communication from Graph Modeling Perspective
Learning Multi-Agent Communication from Graph Modeling Perspective
Shengchao Hu
Li Shen
Ya-Qin Zhang
Dacheng Tao
AI4CE
37
21
0
14 May 2024
UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement
  Learning
UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning
Saichao Liu
Geng Sun
Jiahui Li
Shuang Liang
Qingqing Wu
Pengfei Wang
Dusit Niyato
20
3
0
11 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
Leveraging Team Correlation for Approximating Equilibrium in Two-Team
  Zero-Sum Games
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games
Naming Liu
Mingzhi Wang
Youzhi Zhang
Yaodong Yang
Bo An
Ying Wen
29
0
0
01 Mar 2024
Social Environment Design
Social Environment Design
Edwin Zhang
Sadie Zhao
Tonghan Wang
Safwan Hossain
Henry Gasztowtt
Stephan Zheng
David C. Parkes
Milind Tambe
Yiling Chen
43
5
0
21 Feb 2024
Multi-Sender Persuasion: A Computational Perspective
Multi-Sender Persuasion: A Computational Perspective
Safwan Hossain
Tonghan Wang
Tao Lin
Yiling Chen
David C. Parkes
Haifeng Xu
27
10
0
07 Feb 2024
Graph Attention-based Reinforcement Learning for Trajectory Design and
  Resource Assignment in Multi-UAV Assisted Communication
Graph Attention-based Reinforcement Learning for Trajectory Design and Resource Assignment in Multi-UAV Assisted Communication
Zikai Feng
Diyang Wu
Mengxing Huang
Chau Yuen
18
7
0
31 Jan 2024
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning:
  Theory, Algorithms and Implementations
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations
Matthias Lehmann
38
0
0
24 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
AgentMixer: Multi-Agent Correlated Policy Factorization
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li
Wenshuai Zhao
Lijun Wu
J. Pajarinen
OffRL
45
1
0
16 Jan 2024
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A
  Survey
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang
Kefan Su
Zongqing Lu
30
3
0
10 Jan 2024
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 A. Atanasov
Eduardo Montijano
C. Sagüés
28
3
0
30 Dec 2023
Dynamic Routing for Integrated Satellite-Terrestrial Networks: A
  Constrained Multi-Agent Reinforcement Learning Approach
Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach
Yifeng Lyu
Han Hu
Rongfei Fan
Zhi Liu
J. An
Shiwen Mao
33
13
0
23 Dec 2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via
  Regulated Segment Mixture in Internet of Vehicles
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles
Xiaoxue Yu
Rongpeng Li
Chengchao Liang
Zhifeng Zhao
25
0
0
15 Dec 2023
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