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Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local
  Value Regularization

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization

21 July 2023
Xiangsen Wang
Haoran Xu
Yinan Zheng
Xianyuan Zhan
    OffRL
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Papers citing "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"

21 / 21 papers shown
Title
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
Haoran Xu
Shuozhe Li
Harshit S. Sikchi
S. Niekum
Amy Zhang
OffRL
27
0
0
17 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
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
Kartik Nagpal
Dayi Dong
Jean-Baptiste Bouvier
Negar Mehr
LLMAG
49
1
0
24 Feb 2025
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Xianyuan Zhan
Xiangyu Zhu
Peng Cheng
Xiao Hu
Ziteng He
...
Chenhui Liu
Tianshun Hong
Yan Liang
Yunxin Liu
Feng Zhao
AI4CE
57
0
0
17 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
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
Natalia Zhang
X. Wang
Qiwen Cui
Runlong Zhou
Sham Kakade
Simon S. Du
OffRL
48
0
0
10 Jan 2025
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel
  Bidding
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
Shenghong He
Chao Yu
34
0
0
26 Dec 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
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
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low
  Interaction Rank
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
Wenhao Zhan
Scott Fujimoto
Zheqing Zhu
Jason D. Lee
Daniel Jiang
Yonathan Efroni
OffRL
29
0
0
01 Oct 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Claude Formanek
Louise Beyers
C. Tilbury
Jonathan P. Shock
Arnu Pretorius
OffRL
34
0
0
18 Sep 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement
  Learning
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
Liyuan Mao
Haoran Xu
Weinan Zhang
Xianyuan Zhan
Amy Zhang
OffRL
41
5
0
29 Jul 2024
Coordination Failure in Cooperative Offline MARL
Coordination Failure in Cooperative Offline MARL
C. Tilbury
Claude Formanek
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
33
1
0
01 Jul 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised
  Baselines and Evaluation
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
Claude Formanek
C. Tilbury
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
34
1
0
13 Jun 2024
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
  for Digital Twins
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins
Eslam Eldeeb
Houssem Sifaou
Osvaldo Simeone
M. Shehab
Hirley Alves
OffRL
40
3
0
13 Feb 2024
ODICE: Revealing the Mystery of Distribution Correction Estimation via
  Orthogonal-gradient Update
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
Liyuan Mao
Haoran Xu
Weinan Zhang
Xianyuan Zhan
34
10
0
01 Feb 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion
  Model
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Yinan Zheng
Jianxiong Li
Dongjie Yu
Yujie Yang
Shengbo Eben Li
Xianyuan Zhan
Jingjing Liu
OffRL
36
24
0
19 Jan 2024
Look Beneath the Surface: Exploiting Fundamental Symmetry for
  Sample-Efficient Offline RL
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng
Xianyuan Zhan
Zhihao Wu
Wenjia Zhang
Shoucheng Song
Han Wang
Youfang Lin
Li Jiang
OffRL
40
9
0
07 Jun 2023
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
839
0
12 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
46
25
0
01 Oct 2021
Mava: a research library for distributed multi-agent reinforcement
  learning in JAX
Mava: a research library for distributed multi-agent reinforcement learning in JAX
Arnu Pretorius
Kale-ab Tessera
St John Grimbly
Kevin Eloff
Lawrence Francis
Claude Formanek
Andries P. Smit
Alexandre Laterre
22
12
0
03 Jul 2021
1