Cover Image

Deep Reinforcement Learning-based Large-scale Robot Exploration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Yuhong, Zhao, Rui, Wang, Yizhuo, Xiang, Bairan, Sartoretti, Guillaume
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

DARE: Diffusion Policy for Autonomous Robot Exploration
by: Cao, Yuhong, 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)

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

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

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction
by: Wang, Yizhuo, et al.
Published: (2025)

STAR: Swarm Technology for Aerial Robotics Research
by: Chiun, Jimmy, et al.
Published: (2024)

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

IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
by: Tan, Derek Ming Siang, et al.
Published: (2024)

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

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

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

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

APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots
by: Sood, Shivam, et al.
Published: (2025)

APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots
by: Sood, Shivam, et al.
Published: (2025)

ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
by: Chen, Jie, et al.
Published: (2026)

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

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
by: Lew, Jeric, 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)

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

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

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

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

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

Deep Reinforcement Learning for Decentralized Multi-Robot Exploration With Macro Actions
by: Tan, Aaron Hao, et al.
Published: (2021)

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

SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning
by: Li, Peizhuo, 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)

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

Mobile Robot Exploration Without Maps via Out-of-Distribution Deep Reinforcement Learning
by: Sivashangaran, Shathushan, et al.
Published: (2024)

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

Locomotion Generation for a Rat Robot based on Environmental Changes via Reinforcement Learning
by: Shan, Xinhui, et al.
Published: (2024)

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

Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
by: Plou, Carlos, et al.
Published: (2024)

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

Solving Robotics Tasks with Prior Demonstration via Exploration-Efficient Deep Reinforcement Learning
by: Shen, Chengyandan, et al.
Published: (2025)

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

Enhancing Deep Reinforcement Learning-based Robot Navigation Generalization through Scenario Augmentation
by: Wang, Shanze, et al.
Published: (2025)