Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Zeyang, Wan, Lipeng, Yang, Xinrui, Chen, Zhuoran, Chen, Xingyu, Lan, Xuguang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
by: Liu, Zeyang, et al.
Published: (2024)
by: Liu, Zeyang, et al.
Published: (2024)
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
by: Wan, Lipeng, et al.
Published: (2021)
by: Wan, Lipeng, et al.
Published: (2021)
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)
by: Toquebiau, Maxime, et al.
Published: (2024)
Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)
by: Oh, Dahyun, et al.
Published: (2026)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026)
by: Xiaolong, Yin, et al.
Published: (2026)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)
by: Du, Haikuo, et al.
Published: (2025)
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2024)
by: Ma, Hao, et al.
Published: (2024)
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
by: Chen, Dingyang, et al.
Published: (2023)
by: Chen, Dingyang, et al.
Published: (2023)
WESE: Weak Exploration to Strong Exploitation for LLM Agents
by: Huang, Xu, et al.
Published: (2024)
by: Huang, Xu, et al.
Published: (2024)
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)
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)
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)
by: Hu, Tianyi, et al.
Published: (2024)
CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
by: Sun, Yiliu, et al.
Published: (2025)
by: Sun, Yiliu, et al.
Published: (2025)
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
by: Li, Yugu, et al.
Published: (2025)
by: Li, Yugu, et al.
Published: (2025)
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)
by: Liao, Wei-Chen, et al.
Published: (2025)
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)
by: Liu, Shunyu, et al.
Published: (2022)
PIMAEX: Multi-Agent Exploration through Peer Incentivization
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
MACC: Multi-Agent Collaborative Competition for Scientific Exploration
by: Oyama, Satoshi, et al.
Published: (2026)
by: Oyama, Satoshi, et al.
Published: (2026)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
by: Chen, Hanxiao
Published: (2024)
by: Chen, Hanxiao
Published: (2024)
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
by: Long, Qian, et al.
Published: (2024)
by: Long, Qian, et al.
Published: (2024)
Hilbert-Augmented Reinforcement Learning for Scalable Multi-Robot Coverage and Exploration
by: Gurunathan, Tamil Selvan, et al.
Published: (2026)
by: Gurunathan, Tamil Selvan, et al.
Published: (2026)
Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
by: Li, Zhuhui, et al.
Published: (2025)
by: Li, Zhuhui, et al.
Published: (2025)
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)
by: Feng, Pu, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)
by: Mai, Yuxiang, et al.
Published: (2025)
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhiwei, et al.
Published: (2024)
by: Xu, Zhiwei, et al.
Published: (2024)
OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning
by: Bi, Zhenyu, et al.
Published: (2025)
by: Bi, Zhenyu, et al.
Published: (2025)
BAMAS: Structuring Budget-Aware Multi-Agent Systems
by: Yang, Liming, et al.
Published: (2025)
by: Yang, Liming, et al.
Published: (2025)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration
by: Qu, Yun, et al.
Published: (2024)
by: Qu, Yun, et al.
Published: (2024)
Similar Items
-
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
by: Liu, Zeyang, et al.
Published: (2024) -
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
by: Wan, Lipeng, et al.
Published: (2021) -
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025) -
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024) -
Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)