DSSE：无人机群搜索环境
DSSE: a drone swarm search environment
AI总结：
基于PettingZoo的多智能体强化学习环境，无人机通过动态概率输入搜索目标。
摘要：
无人机群搜索项目是一个基于 extsc{PettingZoo}的环境，用于多智能体（或单智能体）强化学习算法。在该环境中，智能体（无人机）必须找到目标（海难人员）。智能体不知道目标的位置，也不接收与自身到目标距离相关的奖励。然而，智能体会收到目标位于地图某个单元格的概率。该项目旨在辅助研究需要动态概率作为输入的强化学习算法。描述该软件第二版的同行评审论文已发表在JOSS上：https://doi.org/10.21105/joss.06746。
英文摘要：
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 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. A peer-reviewed paper describing version 2 of this software has been published in JOSS: https://doi.org/10.21105/joss.06746.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
