RLMAPF2

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Kamil Młodzikowski, Dominik Belter
DOI: 10.5281/zenodo.18846534
Cited by: 0

Abstract

RLMAPF2 is a MAPF research codebase for training and evaluating multi-agent PPO policies with optional congestion-aware D* Lite guidance.

Fields of Study & Subjects

Robotic Path Planning Algorithms Reinforcement Learning in Robotics Evacuation and Crowd Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN