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   Articles with "agent path" as a keyword



A Comprehensive Review on Leveraging Machine Learning for Multi-Agent Path Finding

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3392305

Abstract: This review paper provides an in-depth analysis of the latest advancements in applying Machine Learning (ML) to solve the Multi-Agent Path Finding (MAPF) problem. The MAPF problem is about finding collision-free paths for multiple agents… read more here.

Keywords: path finding; mapf; agent path; multi agent ... See more keywords

Anytime Automatic Algorithm Selection for the Multi-Agent Path Finding Problem

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3395495

Abstract: In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the specific characteristics of the problem… read more here.

Keywords: path finding; problem; agent path; multi agent ... See more keywords

Enhancing PIBT for Multi-Agent Path Finding via MLP-Based Candidate Selection and Priority Perturbation

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3630099

Abstract: The Multi-Agent Path Finding (MAPF) problem aims to compute a set of conflict-free paths for multiple agents in a shared environment, ensuring that all agents reach their respective goal locations. MAPF has a wide range… read more here.

Keywords: priority perturbation; multi agent; priority; agent path ... See more keywords

Hybrid Centralized Training and Decentralized Execution Reinforcement Learning in Multi-Agent Path-Finding Simulations

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14103960

Abstract: In this paper, we propose a hybrid centralized training and decentralized execution neural network architecture with deep reinforcement learning (DRL) to complete the multi-agent path-finding simulation. In the training of physical robots, collisions and other… read more here.

Keywords: path finding; agent path; multi agent; training ... See more keywords