Cover Image

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xibei, Zhang, Yifeng, Xiao, Yuxiang, Fan, Mingfeng, Wang, Maonan, 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

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2026)

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

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
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)

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

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

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

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

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

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

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

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

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

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

Traffic Signal Phase and Timing Estimation with Large-Scale Floating Car Data
by: Liao, Mingcheng, 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)

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

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

LCSim: A Large-Scale Controllable Traffic Simulator
by: Zhang, Yuheng, et al.
Published: (2024)

McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion
by: Mishra, Prakhar, et al.
Published: (2025)

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

SAC-MoE: Reinforcement Learning with Mixture-of-Experts for Control of Hybrid Dynamical Systems with Uncertainty
by: D'Souza, Leroy, et al.
Published: (2025)

UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
by: Wang, Maonan, et al.
Published: (2023)

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

Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach
by: Xie, Yuejiao, et al.
Published: (2025)

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

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
by: Huang, Suning, et al.
Published: (2024)

Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
by: Celik, Onur, et al.
Published: (2024)

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning
by: Yuan, Zhecheng, et al.
Published: (2024)

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

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
by: Wang, Yun, et al.
Published: (2025)

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills
by: Xiao, Siyao, et al.
Published: (2026)

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

Learned Inertial Odometry for Cycling Based on Mixture of Experts Algorithm
by: Qiao, Hao, et al.
Published: (2025)

ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control
by: Pang, Aoyu, et al.
Published: (2026)

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

DARE: Diffusion Policy for Autonomous Robot Exploration
by: Cao, Yuhong, et al.
Published: (2024)

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

HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
by: Liang, Jingsong, et al.
Published: (2024)