Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Gardiner, John, Romero, Orlando, Tivnan, Brendan, Fabbro, Nicolò Dal, Pappas, George J. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning
by: Fabbro, Nicolò Dal, et al.
Published: (2024)
by: Fabbro, Nicolò Dal, et al.
Published: (2024)
Symmetries-enhanced Multi-Agent Reinforcement Learning
by: Bousias, Nikolaos, et al.
Published: (2025)
by: Bousias, Nikolaos, et al.
Published: (2025)
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)
Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)
by: Aina, Kehinde O., et al.
Published: (2025)
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, 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)
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)
by: Duan, Wei, et al.
Published: (2026)
Quantum Advantage in Multi Agent Reinforcement Learning
by: Dahia, Simranjeet Singh, et al.
Published: (2026)
by: Dahia, Simranjeet Singh, et al.
Published: (2026)
Multi-Agent Coordination via Multi-Level Communication
by: Ding, Ziluo, et al.
Published: (2022)
by: Ding, Ziluo, et al.
Published: (2022)
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
by: Baghi, Amir, et al.
Published: (2025)
by: Baghi, Amir, et al.
Published: (2025)
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
by: Tuynman, Adrienne, et al.
Published: (2022)
by: Tuynman, Adrienne, et al.
Published: (2022)
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
by: Snow, Luke, et al.
Published: (2024)
by: Snow, Luke, et al.
Published: (2024)
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)
by: Bui, The Viet, et al.
Published: (2025)
Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)
by: Park, Yisak, et al.
Published: (2025)
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)
by: Na, Hyungho, et al.
Published: (2025)
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Fully Independent Communication in Multi-Agent Reinforcement Learning
by: Pina, Rafael, et al.
Published: (2024)
by: Pina, Rafael, et al.
Published: (2024)
Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, 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)
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)
by: Barde, Paul, et al.
Published: (2023)
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)
by: Büchi, Hannes, et al.
Published: (2026)
Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
by: Eckel, David, et al.
Published: (2026)
by: Eckel, David, et al.
Published: (2026)
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025)
by: Wang, Xuefeng, et al.
Published: (2025)
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2023)
by: Gupta, Nikunj, et al.
Published: (2023)
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
by: Holder, Joshua, et al.
Published: (2024)
by: Holder, Joshua, et al.
Published: (2024)
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
by: Zhao, Yujie, et al.
Published: (2025)
by: Zhao, Yujie, et al.
Published: (2025)
A Tensor Network Implementation of Multi Agent Reinforcement Learning
by: Howard, Sunny
Published: (2024)
by: Howard, Sunny
Published: (2024)
A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)
by: Zhu, Changxi, et al.
Published: (2022)
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024)
by: Eldeeb, Eslam, et al.
Published: (2024)
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026)
by: Wang, Zhizun, et al.
Published: (2026)
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024)
by: Baheri, Ali, et al.
Published: (2024)
Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach
by: Qin, Chuhao, et al.
Published: (2025)
by: Qin, Chuhao, et al.
Published: (2025)
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)
by: Hazra, Somnath, et al.
Published: (2025)
Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Ruoning, et al.
Published: (2025)
by: Zhang, Ruoning, et al.
Published: (2025)
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
by: Schäfer, Lukas, et al.
Published: (2023)
by: Schäfer, Lukas, et al.
Published: (2023)
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2024)
by: Na, Hyungho, et al.
Published: (2024)
Similar Items
-
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning
by: Fabbro, Nicolò Dal, et al.
Published: (2024) -
Symmetries-enhanced Multi-Agent Reinforcement Learning
by: Bousias, Nikolaos, et al.
Published: (2025) -
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024) -
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025) -
Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)