Cover Image

Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Peng, Shaoming
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Social Heuristics for Human-Aware Path Planning
by: Eirale, Andrea, et al.
Published: (2025)

Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning
by: Ji, Yiming, et al.
Published: (2024)

Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
by: Dong, Shihao, et al.
Published: (2026)

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

Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planning
by: Huang, Guoming, et al.
Published: (2024)

Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm
by: Li, Qinru, et al.
Published: (2023)

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
by: Yin, Huilin, et al.
Published: (2024)

Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
by: Mahran, Youssef, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
by: Alon, Yoav, et al.
Published: (2020)

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
by: Krnjaic, Aleksandar, et al.
Published: (2022)

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)

DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
by: Sharma, Shashank, et al.
Published: (2025)

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2024)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
by: Kolomeytsev, Yury, et al.
Published: (2025)

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)

Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous
by: Bandyopadhyay, Agni, et al.
Published: (2024)

Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)

CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
by: Liu, Rui, et al.
Published: (2025)

MASP: Scalable GNN-based Planning for Multi-Agent Navigation
by: Yang, Xinyi, et al.
Published: (2023)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

A Goal-Oriented Reinforcement Learning-Based Path Planning Algorithm for Modular Self-Reconfigurable Satellites
by: Liu, Bofei, et al.
Published: (2025)

Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments
by: Machado, Mateus G., et al.
Published: (2024)

Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
by: Ahmad, H. M. Sabbir, et al.
Published: (2025)

Cross-Modal Navigation with Multi-Agent Reinforcement Learning
by: Liu, Shuo, et al.
Published: (2026)

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

Redistributing Rewards Across Time and Agents for Multi-Agent Reinforcement Learning
by: Kapoor, Aditya, et al.
Published: (2025)

Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
by: Alagha, Ahmed, et al.
Published: (2025)

Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
by: Feng, Yunhai, et al.
Published: (2025)

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
by: Zongo, Alex, et al.
Published: (2026)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
by: Gerstgrasser, Matthias, et al.
Published: (2023)

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)

Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025)

Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
by: Geles, Ismail, et al.
Published: (2026)

Learning Pareto Set for Multi-Objective Continuous Robot Control
by: Shu, Tianye, et al.
Published: (2024)

Projected Task-Specific Layers for Multi-Task Reinforcement Learning
by: Roberts, Josselin Somerville, et al.
Published: (2023)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
by: Narendra, Aditya, et al.
Published: (2026)

A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)

MARFT: Multi-Agent Reinforcement Fine-Tuning
by: Liao, Junwei, et al.
Published: (2025)