Multi-agent Reinforcement Learning: A Comprehensive Survey
Fuente:
arXiv
Saved in:
| Main Authors: | Huh, Dom, Mohapatra, Prasant |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)
by: Huh, Dom, et al.
Published: (2024)
Multi-agent Auto-Bidding with Latent Graph Diffusion Models
by: Huh, Dom, et al.
Published: (2025)
by: Huh, Dom, et al.
Published: (2025)
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
by: Huh, Dom, et al.
Published: (2025)
by: Huh, Dom, et al.
Published: (2025)
Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs
by: Huh, Dom, et al.
Published: (2025)
by: Huh, Dom, et al.
Published: (2025)
Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)
by: Liu, Qihan, et al.
Published: (2024)
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2024)
by: Li, Xinran, et al.
Published: (2024)
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2024)
by: Lee, Dongsu, et al.
Published: (2024)
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2025)
by: Li, Xinran, et al.
Published: (2025)
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
by: Wang, Xihuai, et al.
Published: (2022)
by: Wang, Xihuai, et al.
Published: (2022)
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
by: Lee, Xian Yeow, et al.
Published: (2024)
by: Lee, Xian Yeow, et al.
Published: (2024)
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
by: Yu, Xiaoyang, et al.
Published: (2023)
by: Yu, Xiaoyang, et al.
Published: (2023)
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)
by: Yin, Qiyue, et al.
Published: (2022)
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)
by: Hady, Mohamad A., et al.
Published: (2025)
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
by: Jiang, Jiechuan, et al.
Published: (2024)
by: Jiang, Jiechuan, et al.
Published: (2024)
A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
by: Cheruiyot, Kemboi, et al.
Published: (2025)
by: Cheruiyot, Kemboi, et al.
Published: (2025)
M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, 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)
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023)
by: Minelli, Giovanni, et al.
Published: (2023)
Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding
by: Wang, Shiyue, et al.
Published: (2025)
by: Wang, Shiyue, et al.
Published: (2025)
Single-agent or Multi-agent Systems? Why Not Both?
by: Gao, Mingyan, et al.
Published: (2025)
by: Gao, Mingyan, et al.
Published: (2025)
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)
Control Charts for Multi-agent Systems
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)
by: Li, Wenzhe, et al.
Published: (2024)
Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review
by: Hu, Siyi, et al.
Published: (2025)
by: Hu, Siyi, et al.
Published: (2025)
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)
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
Multi-Agent Car Parking using Reinforcement Learning
by: Tanner, Omar
Published: (2022)
by: Tanner, Omar
Published: (2022)
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)
by: Castagna, Alberto
Published: (2025)
Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments
by: Li, Xinran, et al.
Published: (2025)
by: Li, Xinran, et al.
Published: (2025)
A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis
by: Sharma, Dinesh, et al.
Published: (2023)
by: Sharma, Dinesh, et al.
Published: (2023)
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)
by: Formanek, Claude, et al.
Published: (2023)
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)
by: Liu, Lunjun, et al.
Published: (2024)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)
by: Lee, Sunwoo, et al.
Published: (2026)
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)
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)
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
Turn-based Multi-Agent Reinforcement Learning Model Checking
by: Gross, Dennis
Published: (2025)
by: Gross, Dennis
Published: (2025)
Similar Items
-
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024) -
Multi-agent Auto-Bidding with Latent Graph Diffusion Models
by: Huh, Dom, et al.
Published: (2025) -
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
by: Huh, Dom, et al.
Published: (2025) -
Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs
by: Huh, Dom, et al.
Published: (2025) -
Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)