Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
Fuente:
arXiv
Saved in:
| Main Authors: | Kölle, Michael, Reff, Christian, Sünkel, Leo, Hager, Julian, Stenzel, Gerhard, Linnhoff-Popien, Claudia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
PIMAEX: Multi-Agent Exploration through Peer Incentivization
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
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)
Quantum King-Ring Domination in Chess: A QAOA Approach
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)
by: Stenzel, Gerhard, et al.
Published: (2026)
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange
by: Altmann, Philipp, et al.
Published: (2024)
by: Altmann, Philipp, et al.
Published: (2024)
An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2026)
by: Sünkel, Leo, et al.
Published: (2026)
Dynamic Incentivized Cooperation under Changing Rewards
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, et al.
Published: (2026)
Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Quantum Advantage in Multi Agent Reinforcement Learning
by: Dahia, Simranjeet Singh, et al.
Published: (2026)
by: Dahia, Simranjeet Singh, et al.
Published: (2026)
Circuit Partitioning for the Quantum Internet
by: Sünkel, Leo, et al.
Published: (2025)
by: Sünkel, Leo, et al.
Published: (2025)
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
by: DeRieux, Alexander, et al.
Published: (2024)
by: DeRieux, Alexander, et al.
Published: (2024)
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning
by: Li, Zichong, et al.
Published: (2024)
by: Li, Zichong, et al.
Published: (2024)
Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
by: Rohe, Tobias, et al.
Published: (2025)
by: Rohe, Tobias, et al.
Published: (2025)
Quantum Denoising Diffusion Models
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Learning Nudges for Conditional Cooperation: A Multi-Agent Reinforcement Learning Model
by: Kulkarni, Shatayu, et al.
Published: (2024)
by: Kulkarni, Shatayu, et al.
Published: (2024)
Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2025)
by: Ren, Tianyu, et al.
Published: (2025)
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Junkai, et al.
Published: (2024)
by: Zhang, Junkai, et al.
Published: (2024)
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)
by: Zhang, Xinren, et al.
Published: (2025)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)
by: Bae, Sangjun, et al.
Published: (2026)
Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction
by: Campbell, Charlie, et al.
Published: (2025)
by: Campbell, Charlie, et al.
Published: (2025)
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models
by: Akin, Sureyya, et al.
Published: (2025)
by: Akin, Sureyya, et al.
Published: (2025)
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning
by: Lee, Min Whoo, et al.
Published: (2025)
by: Lee, Min Whoo, et al.
Published: (2025)
Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
by: McClusky, Ben
Published: (2024)
by: McClusky, Ben
Published: (2024)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2024)
by: Wang, Shengbo, et al.
Published: (2024)
Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
by: Elrod, Michael, et al.
Published: (2025)
by: Elrod, Michael, et al.
Published: (2025)
Implicit Repair with Reinforcement Learning in Emergent Communication
by: Vital, Fábio, et al.
Published: (2025)
by: Vital, Fábio, et al.
Published: (2025)
Communication Gain and Delay Cost Under Cross-Timestep Delays in Cooperative Multi-Agent Reinforcement Learning
by: Gao, Zihong, et al.
Published: (2026)
by: Gao, Zihong, et al.
Published: (2026)
Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)
by: Yu, Taoyuan, et al.
Published: (2025)
Learning Reward Machines in Cooperative Multi-Agent Tasks
by: Ardon, Leo, et al.
Published: (2023)
by: Ardon, Leo, et al.
Published: (2023)
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
Learning to Coordinate Under Threshold Rewards: A Cooperative Multi-Agent Bandit Framework
by: Ledford, Michael, et al.
Published: (2025)
by: Ledford, Michael, et al.
Published: (2025)
Similar Items
-
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
by: Kölle, Michael, et al.
Published: (2023) -
PIMAEX: Multi-Agent Exploration through Peer Incentivization
by: Kölle, Michael, et al.
Published: (2025) -
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
by: Kölle, Michael, et al.
Published: (2024) -
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026) -
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
by: Kölle, Michael, et al.
Published: (2024)