Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
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Updated
Aug 30, 2024 - Python
Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
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.
Conflict-based search for multi-agent path finding (MAPF)
Multi-agent pathfinding via Conflict Based Search
Stochastic Conflict-Based Allocation
A solution of Multi-Agent Path Finding problem
Conflict-based search for optimal multi-agent pathfinding
naive implementations of Multi-Agent Path Finding algorithms
Conflict Avoidant CBS (CA-CBS)
Multiagent Pathfinding Problem for agricultural swarm agents. Used CBS algorithm for search. To know more, refer to the report attached in the link below.
Multi-Agent Pathfinding using A* in Conflict Based Search algorithm
A Rust implementation of Continuous Conflict-Based Search for Multi-Agent Path Finding
Yet Another Sat solvER
Conflict-Based Search implementation in Kotlin
Statistical models for multi-agent path planning in dynamic environments.
The Multi Agent Transportation Problem: Solvers, Evaluations, and Computer-Assisted Proofs
CBS solutions to 240K path finding problems.
Used Multi Agent Path Finding (MAPF) based on Conflict Based Search (CBS) with A* algorithm implementation to successfully navigate n number of agents through any map without any collision.
A large dataset containing optimal actions taken by conflict-based search (CBS) with five agents on random 20x20 maps.
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