A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Fuente:
arXiv
Saved in:
| Main Authors: | Barde, Paul, Foerster, Jakob, Nowrouzezahrai, Derek, Zhang, Amy |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)
by: Formanek, Claude, et al.
Published: (2023)
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)
by: Formanek, Claude, et al.
Published: (2024)
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)
by: Cardei, Maria Ana, et al.
Published: (2026)
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)
by: Aina, Kehinde O., et al.
Published: (2025)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, et al.
Published: (2024)
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)
by: Duan, Wei, et al.
Published: (2026)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
Coordination Failure in Cooperative Offline MARL
by: Tilbury, Callum Rhys, et al.
Published: (2024)
by: Tilbury, Callum Rhys, et al.
Published: (2024)
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
by: Ruhdorfer, Constantin, et al.
Published: (2025)
by: Ruhdorfer, Constantin, et al.
Published: (2025)
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
by: Omari, Bassel Al, et al.
Published: (2025)
by: Omari, Bassel Al, et al.
Published: (2025)
Turn-based Multi-Agent Reinforcement Learning Model Checking
by: Gross, Dennis
Published: (2025)
by: Gross, Dennis
Published: (2025)
Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models
by: Mahmud, Saaduddin, et al.
Published: (2025)
by: Mahmud, Saaduddin, et al.
Published: (2025)
Offline and Distributional Reinforcement Learning for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2024)
by: Eldeeb, Eslam, et al.
Published: (2024)
Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
by: Li, Zhengyang, et al.
Published: (2025)
by: Li, Zhengyang, et al.
Published: (2025)
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)
by: Li, Yurui, et al.
Published: (2025)
Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning
by: Atif, Muhammad Ahmed, et al.
Published: (2026)
by: Atif, Muhammad Ahmed, et al.
Published: (2026)
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
by: Maliha, Maisha, et al.
Published: (2025)
by: Maliha, Maisha, et al.
Published: (2025)
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2022)
by: Chen, Yiqun, et al.
Published: (2022)
Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)
by: Atasever, Merve, et al.
Published: (2025)
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
by: Jing, Gangshan, et al.
Published: (2022)
by: Jing, Gangshan, et al.
Published: (2022)
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
by: Kontogiannis, Andreas, et al.
Published: (2025)
by: Kontogiannis, Andreas, et al.
Published: (2025)
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)
by: Huh, Dom, et al.
Published: (2024)
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)
by: Bettini, Matteo, et al.
Published: (2023)
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)
by: Liu, Shunyu, et al.
Published: (2022)
Multi-Agent Car Parking using Reinforcement Learning
by: Tanner, Omar
Published: (2022)
by: Tanner, Omar
Published: (2022)
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Zhou, Guangchong, et al.
Published: (2024)
by: Zhou, Guangchong, et al.
Published: (2024)
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)
by: Hu, Kun, et al.
Published: (2025)
Select to Perfect: Imitating desired behavior from large multi-agent data
by: Franzmeyer, Tim, et al.
Published: (2024)
by: Franzmeyer, Tim, et al.
Published: (2024)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)
by: Castagna, Alberto
Published: (2025)
Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
by: Yoshida, Naoto, et al.
Published: (2025)
by: Yoshida, Naoto, et al.
Published: (2025)
Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)
by: Corazza, Jan, et al.
Published: (2025)
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
by: Gao, Riqiang, et al.
Published: (2024)
by: Gao, Riqiang, et al.
Published: (2024)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)
by: Bae, Sangjun, et al.
Published: (2026)
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)
by: Fung, Ho Long, et al.
Published: (2022)
Similar Items
-
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023) -
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024) -
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026) -
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024) -
Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)