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Anton Andreychuk's Projects

aa-sipp icon aa-sipp

Optimal any-angle planner for a single agent in environments with dynamic obstacles

astar-jps-thetastar icon astar-jps-thetastar

Basic algorithms for single-shot grid-based path finding: BFS, Dijkstra, A*, Jump Point Search (JPS), Theta*

continuous-cbs icon continuous-cbs

Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.

hog2 icon hog2

Automatically exported from code.google.com/p/hog2

lacam3 icon lacam3

Engineering LaCAM*: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding (AAMAS-24)

pogema icon pogema

POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

primal2 icon primal2

Training code PRIMAL2 - Public Repo

pypibt icon pypibt

Minimal Python implementation of PIBT for MAPF

rhcr icon rhcr

An efficient solver for lifelong Multi-Agent Path Finding

suboptimalsipp icon suboptimalsipp

Implementation of different versions of Safe Interval Path Planning algorithm that can find bounded-suboptimal solutions.

theta_ros icon theta_ros

Theta* algorithm that can work with inputs and outputs of ROS

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