Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
Fuente:
arXiv
Saved in:
| Main Authors: | Mai, Yuxiang, Yin, Qiyue, Ni, Wancheng, Xu, Pei, Huang, Kaiqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
by: Lou, Xingzhou, et al.
Published: (2023)
by: Lou, Xingzhou, et al.
Published: (2023)
Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026)
by: Xiaolong, Yin, et al.
Published: (2026)
Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
by: Bolleddu, Deepak
Published: (2025)
by: Bolleddu, Deepak
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)
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)
by: Xu, Zelai, et al.
Published: (2023)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics
by: Selmonaj, Ardian, et al.
Published: (2025)
by: Selmonaj, Ardian, 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)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
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)
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
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)
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning
by: Sur, Indranil, et al.
Published: (2024)
by: Sur, Indranil, et al.
Published: (2024)
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
by: Luo, Zhenglong, et al.
Published: (2024)
by: Luo, Zhenglong, et al.
Published: (2024)
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2024)
by: Bettini, Matteo, et al.
Published: (2024)
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, 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)
ToMPO: Training LLM Strategic Decision Making from a Multi-Agent Perspective
by: Zhang, Yiwen, et al.
Published: (2025)
by: Zhang, Yiwen, et al.
Published: (2025)
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)
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
by: Long, Qian, et al.
Published: (2024)
by: Long, Qian, 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)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
by: Lin, Yufei, et al.
Published: (2025)
by: Lin, Yufei, et al.
Published: (2025)
Multicopy Reinforcement Learning Agents
by: Wolfe, Alicia P., et al.
Published: (2023)
by: Wolfe, Alicia P., et al.
Published: (2023)
Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing
by: Hu, Jinwei, et al.
Published: (2025)
by: Hu, Jinwei, et al.
Published: (2025)
QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
by: Li, Yuanjun, et al.
Published: (2025)
by: Li, Yuanjun, et al.
Published: (2025)
Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations
by: Garrido-Merchán, Eduardo C., et al.
Published: (2024)
by: Garrido-Merchán, Eduardo C., 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)
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)
by: Zhang, Yuli, 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)
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
by: Weil, Jannis, et al.
Published: (2024)
by: Weil, Jannis, et al.
Published: (2024)
ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
by: Abboud, Elie, et al.
Published: (2026)
by: Abboud, Elie, et al.
Published: (2026)
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)
Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Management
by: Xu, Muqing
Published: (2026)
by: Xu, Muqing
Published: (2026)
Multi-Agent Coordination across Diverse Applications: A Survey
by: Sun, Lijun, et al.
Published: (2025)
by: Sun, Lijun, et al.
Published: (2025)
Similar Items
-
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022) -
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
by: Lou, Xingzhou, et al.
Published: (2023) -
Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026) -
Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
by: Bolleddu, Deepak
Published: (2025) -
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)