:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Seungjun, Kim, Kisung, Kim, Daejung, Han, Haewook, Lee, Jinhan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multiagent Systems
Online Access:	https://arxiv.org/abs/2502.12178
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SocialDriveGen: Generating Diverse Traffic Scenarios with Controllable Social Interactions
by: Tian, Jiaguo, et al.
Published: (2025)

Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)

Probabilistic Multi-Agent Aircraft Landing Time Prediction
by: Kim, Kyungmin, et al.
Published: (2025)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)

MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution
by: Kim, Sunghyun, et al.
Published: (2026)

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
by: Li, Hao, et al.
Published: (2025)

An Empirical Study on Google Research Football Multi-agent Scenarios
by: Song, Yan, et al.
Published: (2023)

FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
by: Koh, Woosung, et al.
Published: (2024)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)

O-MAPL: Offline Multi-agent Preference Learning
by: Bui, The Viet, et al.
Published: (2025)

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic Control
by: Islam, Iftekharul, et al.
Published: (2025)

Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
by: Choi, Han-Jun, et al.
Published: (2024)

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
by: Jiang, Wenzhao, et al.
Published: (2024)

Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models
by: Nogueira, Brenda, et al.
Published: (2026)

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)

Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
by: Zhang, Yuyang, et al.
Published: (2026)

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

Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications
by: Standen, Maxwell, et al.
Published: (2026)

Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
by: Liu, Songyang, et al.
Published: (2025)

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)

MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
by: Lee, Sunbowen, et al.
Published: (2024)

Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
by: Zhou, Wei, et al.
Published: (2021)

PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling
by: Venkatesh, Kavana, et al.
Published: (2026)

Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
by: Deng, Chuhao, et al.
Published: (2024)

A Large Language Model for Feasible and Diverse Population Synthesis
by: Lim, Sung Yoo, et al.
Published: (2025)

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
by: Karten, Seth, et al.
Published: (2025)

Diffusion Models for Multi-target Adversarial Tracking
by: Ye, Sean, et al.
Published: (2023)

Prism: Spectral Parameter Sharing for Multi-Agent Reinforcement Learning
by: Kim, Kyungbeom, et al.
Published: (2026)

Safe Human Robot Navigation in Warehouse Scenario
by: Farrell, Seth, et al.
Published: (2025)

Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)

Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
by: Duan, Wenchang, et al.
Published: (2025)

OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
by: Li, Shiyuan, et al.
Published: (2026)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
by: Jiang, Haoyuan, et al.
Published: (2024)

An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning
by: Jang, Wonseo, et al.
Published: (2025)

Agents' Room: Narrative Generation through Multi-step Collaboration
by: Huot, Fantine, et al.
Published: (2024)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)

Soft Condorcet Optimization for Ranking of General Agents
by: Lanctot, Marc, et al.
Published: (2024)

MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
by: Jiang, Wenzhao, et al.
Published: (2026)