Cover Image

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yifeng, Li, Peizhuo, Zhou, Tingguang, Fan, Mingfeng, Sartoretti, Guillaume
Format:	Preprint
Published:	2026
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2025)

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control
by: Chen, Xibei, et al.
Published: (2026)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2026)

COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems
by: Zhang, Yifeng, et al.
Published: (2026)

HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
by: Cao, Yuhong, et al.
Published: (2025)

DecAP: Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies
by: Sood, Shivam, et al.
Published: (2023)

LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding
by: Wang, Yutong, et al.
Published: (2024)

Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion
by: Sun, Ge, et al.
Published: (2024)

CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem
by: Li, Fengxiaoxiao, et al.
Published: (2026)

MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
by: Chiun, Jimmy, et al.
Published: (2025)

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot
by: Yang, Xinrong, et al.
Published: (2025)

COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network
by: Zhang, Xingjian, et al.
Published: (2025)

Deep Reinforcement Learning-based Large-scale Robot Exploration
by: Cao, Yuhong, et al.
Published: (2024)

ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
by: Zhang, Shizhe, et al.
Published: (2026)

Social Behavior as a Key to Learning-based Multi-Agent Pathfinding Dilemmas
by: He, Chengyang, et al.
Published: (2024)

VMTS: Vision-Assisted Teacher-Student Reinforcement Learning for Multi-Terrain Locomotion in Bipedal Robots
by: Chen, Fu, et al.
Published: (2025)

KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion
by: Li, Peizhuo, et al.
Published: (2025)

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
by: Cheng, Jiaqi, et al.
Published: (2025)

GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body Control
by: Liao, Shuhao, et al.
Published: (2026)

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
by: Lew, Jeric, et al.
Published: (2025)

Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
by: Ma, Yixiao, et al.
Published: (2024)

SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning
by: Li, Peizhuo, et al.
Published: (2025)

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding
by: Zhang, Weifan, et al.
Published: (2025)

FARE: Fast-Slow Agentic Robotic Exploration
by: Liao, Shuhao, et al.
Published: (2026)

REACT: Environment-Adaptive Architecture for Continuous Formation Navigation of Wheeled Mobile Robots
by: Dong, Jianghong, et al.
Published: (2026)

HELM: Human-Preferred Exploration with Language Models
by: Liao, Shuhao, et al.
Published: (2025)

An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement
by: Shi, Haojie, et al.
Published: (2024)

GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
by: Ni, Haozhan, et al.
Published: (2025)

Attention-based Learning for 3D Informative Path Planning
by: Zhao, Rui, et al.
Published: (2025)

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
by: Jiang, He, et al.
Published: (2024)

CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion
by: Wang, Hongxi, et al.
Published: (2024)

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
by: Liao, Shuhao, et al.
Published: (2025)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
by: Fan, Mingfeng, et al.
Published: (2025)

Learning to Solve Compositional Geometry Routing Problems
by: Fan, Mingfeng, et al.
Published: (2026)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
by: Fan, Mingfeng, et al.
Published: (2025)

OpenNav: Open-World Navigation with Multimodal Large Language Models
by: Yuan, Mingfeng, et al.
Published: (2025)

Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
by: Zhu, Guobin, et al.
Published: (2025)

BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning
by: Kalra, Geetansh, et al.
Published: (2024)

Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning
by: Shibata, Yuto, et al.
Published: (2026)

MDG: Masked Denoising Generation for Multi-Agent Behavior Modeling in Traffic Environments
by: Huang, Zhiyu, et al.
Published: (2025)