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New Drone Swarm Search Environment for Reinforcement Learning

By PulseAugur Editorial · [1 sources] ·

Researchers have developed DSSE, a new environment for studying multi-agent reinforcement learning algorithms. This environment, built on PettingZoo, simulates drones searching for targets like shipwrecked individuals. Agents receive dynamic probability inputs about target locations rather than direct distance rewards, aiding the study of algorithms that process such probabilistic data. AI

RANK_REASON The cluster contains a research paper detailing a new environment for AI research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Drone Swarm Search Environment for Reinforcement Learning

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The cluster contains a research paper detailing a new environment for AI research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Manuel Castanares, Luis F. S. Carrete, Enrico F. Damiani, Leonardo D. M. de Abreu, Jos\'e Fernando B. Brancalion, Fabr\'icio J. Barth ·

    DSSE: a drone swarm search environment

    arXiv:2307.06240v2 Announce Type: replace-cross Abstract: The Drone Swarm Search project is an environment, based on \textsc{PettingZoo}, that is to be used in conjunction with multi-agent (or single-agent) reinforcement learning algorithms. It is an environment in which the agen…

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