Copertina

Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Yugu, Cao, Zehong, Qiao, Jianglin, Hu, Siyi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Multiagent Systems Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review
di: Hu, Siyi, et al.
Pubblicazione: (2025)

QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
di: Li, Yuanjun, et al.
Pubblicazione: (2025)

Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
di: Abadi, Alireza Saleh, et al.
Pubblicazione: (2025)

Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization
di: Li, Wenwu, et al.
Pubblicazione: (2026)

Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
di: Liu, Qi, et al.
Pubblicazione: (2024)

Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study
di: Hady, Mohamad A., et al.
Pubblicazione: (2025)

Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning
di: Li, Dapeng, et al.
Pubblicazione: (2024)

Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking
di: He, Zhida, et al.
Pubblicazione: (2026)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
di: Hady, Mohamad A., et al.
Pubblicazione: (2025)

Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
di: Hua, Yun, et al.
Pubblicazione: (2025)

Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
di: Jang, Jaeyeon, et al.
Pubblicazione: (2024)

Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
di: Luo, Zhenglong, et al.
Pubblicazione: (2024)

COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
di: Deshmukh, Shripad, et al.
Pubblicazione: (2026)

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
di: Wang, Ziyan, et al.
Pubblicazione: (2023)

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
di: Yang, Wei, et al.
Pubblicazione: (2025)

Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
di: Chen, Hanxiao
Pubblicazione: (2024)

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
di: Liang, Yongheng, et al.
Pubblicazione: (2024)

Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
di: Shao, Jiaqi, et al.
Pubblicazione: (2024)

Multi-Agent Reinforcement Learning with Communication-Constrained Priors
di: Yang, Guang, et al.
Pubblicazione: (2025)

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
di: Li, Xinran, et al.
Pubblicazione: (2024)

Efficient Multi-agent Reinforcement Learning by Planning
di: Liu, Qihan, et al.
Pubblicazione: (2024)

Heterogeneity in Multi-Agent Reinforcement Learning
di: Hu, Tianyi, et al.
Pubblicazione: (2025)

Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
di: Wang, Kang, et al.
Pubblicazione: (2024)

Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space
di: Yu, Xiaoyang, et al.
Pubblicazione: (2024)

Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
di: Li, Xinran, et al.
Pubblicazione: (2025)

Multi-agent Reinforcement Learning: A Comprehensive Survey
di: Huh, Dom, et al.
Pubblicazione: (2023)

Measuring Policy Distance for Multi-Agent Reinforcement Learning
di: Hu, Tianyi, et al.
Pubblicazione: (2024)

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
di: Kapoor, Aditya, et al.
Pubblicazione: (2024)

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
di: Lee, Dongsu, et al.
Pubblicazione: (2024)

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System
di: Wang, Tianfu, et al.
Pubblicazione: (2025)

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
di: Wang, Xihuai, et al.
Pubblicazione: (2022)

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
di: Lee, Xian Yeow, et al.
Pubblicazione: (2024)

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
di: Yu, Xiaoyang, et al.
Pubblicazione: (2023)

Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration
di: Song, Xinyuan, et al.
Pubblicazione: (2025)

ARMATA: Auto-Regressive Multi-Agent Task Assignment
di: Youssef, Yazan, et al.
Pubblicazione: (2026)

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
di: Ma, Hao, et al.
Pubblicazione: (2024)

Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
di: Granadeno, Pedro Antonio Alarcon, et al.
Pubblicazione: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
di: Du, Haikuo, et al.
Pubblicazione: (2025)

Causal Mean Field Multi-Agent Reinforcement Learning
di: Ma, Hao, et al.
Pubblicazione: (2025)

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System
di: Xu, Wanghan, et al.
Pubblicazione: (2025)