Cover Image

The impact of behavioral diversity in multi-agent reinforcement learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bettini, Matteo, Kortvelesy, Ryan, Prorok, Amanda
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2024)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
by: Bettini, Matteo, et al.
Published: (2023)

The challenge of hidden gifts in multi-agent reinforcement learning
by: Malenfant, Dane, et al.
Published: (2025)

AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
by: Takayama, Shota, et al.
Published: (2025)

Scaling Multi-Agent Environment Co-Design with Diffusion Models
by: Li, Hao Xiang, et al.
Published: (2025)

Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2026)

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2025)

Select to Perfect: Imitating desired behavior from large multi-agent data
by: Franzmeyer, Tim, et al.
Published: (2024)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)

Deep reinforcement learning for weakly coupled MDP's with continuous actions
by: Robledo, Francisco, et al.
Published: (2024)

Multi-Objective Constraint Inference using Inverse reinforcement learning
by: Shah, Syed Ihtesham Hussain, et al.
Published: (2026)

Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics
by: Komatsu, Hisato
Published: (2023)

Multi-agent assignment via state augmented reinforcement learning
by: Agorio, Leopoldo, et al.
Published: (2024)

Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi
by: Bredell, F., et al.
Published: (2024)

Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
by: Molinghen, Yannick, et al.
Published: (2024)

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
by: Gelpí, Rebekah A., et al.
Published: (2025)

Human-compatible driving partners through data-regularized self-play reinforcement learning
by: Cornelisse, Daphne, et al.
Published: (2024)

Single-agent or Multi-agent Systems? Why Not Both?
by: Gao, Mingyan, et al.
Published: (2025)

Contrastive learning-based agent modeling for deep reinforcement learning
by: Ma, Wenhao, et al.
Published: (2023)

Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
by: Yu, Xiaoyang, et al.
Published: (2025)

A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
by: Sun, Ruoyu, et al.
Published: (2025)

Control Charts for Multi-agent Systems
by: Helm, Hayden, et al.
Published: (2026)

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
by: Amir, Michael, et al.
Published: (2025)

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

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

Online Relational Inference for Evolving Multi-agent Interacting Systems
by: Kang, Beomseok, et al.
Published: (2024)

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

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

Multi-agent Auto-Bidding with Latent Graph Diffusion Models
by: Huh, Dom, et al.
Published: (2025)

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

Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
by: Arasteh, Fazel, et al.
Published: (2025)

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

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
by: Jha, Kunal, et al.
Published: (2025)

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

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
by: Han, Dongge, et al.
Published: (2025)

Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation
by: Gao, Zhan, et al.
Published: (2024)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication
by: Jayalath, Dulhan, et al.
Published: (2024)

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