DSSE: a drone swarm search environment

Manuel Castanares, Luis F. S. Carrete, Enrico F. Damiani, Leonardo D. M. de Abreu, José Fernando B. Brancalion +1 more
7/12/2023
cs.LGcs.AIcs.RO

No official code found. Best implementation: capstone-insper/drone-swarm-search (84 stars, MIT, last commit 2026-03-31).

Abstract

The Drone Swarm Search project is an environment, based on PettingZoo, that is to be used in conjunction with multi-agent (or single-agent) reinforcement learning algorithms. It is an environment in which the agents (drones), have to find the targets (shipwrecked people). The agents do not know the position of the target and do not receive rewards related to their own distance to the target(s). However, the agents receive the probabilities of the target(s) being in a certain cell of the map. The aim of this project is to aid in the study of reinforcement learning algorithms that require dynamic probabilities as inputs.

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Code Implementations(1)

capstone-insper/drone-swarm-searchCommunity100%
MIT

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.

8413TeX, PythonFeb 8, 20236 months agoMIT
aimulti-agent-reinforcement-learningmultiagent-reinforcement-learningpettingzoopygame+2 more

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Cite this paper

@article{castanares2023dsse,
  title  = {DSSE: a drone swarm search environment},
  author = {Manuel Castanares and Luis F. S. Carrete and Enrico F. Damiani and Leonardo D. M. de Abreu and José Fernando B. Brancalion and Fabrício J. Barth},
  year   = {2023},
  eprint = {2307.06240},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.06240v1}
}

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