Cover Image

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goel, Harsh, Omama, Mohammad, Chalaki, Behdad, Tadiparthi, Vaishnav, Pari, Ehsan Moradi, Chinchali, Sandeep
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
by: Li, Huao, et al.
Published: (2024)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
by: Lin, Muhan, et al.
Published: (2025)

SSR: A Generic Framework for Text-Aided Map Compression for Localization
by: Omama, Mohammad, et al.
Published: (2026)

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
by: Lin, Muhan, et al.
Published: (2024)

In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation
by: Baddam, Vasanth Reddy, et al.
Published: (2025)

Towards Neuro-Symbolic Video Understanding
by: Choi, Minkyu, et al.
Published: (2024)

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
by: Sharan, S P, et al.
Published: (2024)

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

SMART-Merge Planner: A Safe Merging and Real-Time Motion Planner for Autonomous Highway On-Ramp Merging
by: Mohammadnejad, Toktam, et al.
Published: (2025)

Human-AI Collaboration: Trade-offs Between Performance and Preferences
by: Mayer, Lukas William, et al.
Published: (2025)

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

Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
by: Wan, Lipeng, et al.
Published: (2021)

PeroMAS: A Multi-agent System of Perovskite Material Discovery
by: Wang, Yishu, et al.
Published: (2026)

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

Context-aware Communication for Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2023)

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
by: Zhang, Yiyao, et al.
Published: (2026)

Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024
by: Azadeh, Reza
Published: (2024)

Multi-agent Uncertainty-Aware Pessimistic Model-Based Reinforcement Learning for Connected Autonomous Vehicles
by: Wen, Ruoqi, et al.
Published: (2025)

Dual Control for Interactive Autonomous Merging with Model Predictive Diffusion
by: Knaup, Jacob, et al.
Published: (2025)

Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
by: Hu, Zican, et al.
Published: (2023)

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning
by: Deng, Yue, et al.
Published: (2026)

Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning
by: Zhang, Mingliang, et al.
Published: (2024)

Learning Communication Skills in Multi-task Multi-agent Deep Reinforcement Learning
by: Zhu, Changxi, et al.
Published: (2025)

Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback
by: Dai, Pengcheng, et al.
Published: (2026)

DM$^3$-Nav: Decentralized Multi-Agent Multimodal Multi-Object Semantic Navigation
by: Kashiri, Amin, et al.
Published: (2026)

MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
by: Yu, Haohan, et al.
Published: (2026)

Multi-agent Reinforcement Traffic Signal Control based on Interpretable Influence Mechanism and Biased ReLU Approximation
by: Luo, Zhiyue, et al.
Published: (2024)

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning
by: Liu, Zhihao, et al.
Published: (2024)

A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
by: Dizaji, Aslan S.
Published: (2024)

Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
by: Li, Yugu, et al.
Published: (2025)

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

Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition
by: Qiao, Dan, et al.
Published: (2025)

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

Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
by: McClusky, Ben
Published: (2024)

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
by: Goeckner, Anthony, et al.
Published: (2024)

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

Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
by: Ren, Junhao, et al.
Published: (2026)

Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning
by: Yoo, Byunghyun, et al.
Published: (2025)

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025)