co-evolution
收藏Figshare2021-04-15 更新2026-04-08 收录
下载链接：
https://figshare.com/articles/dataset/co-evolution/14206907/1
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资源简介：
title: Co-Evolution of Predator-Prey Ecosystems by Reinforcement Learning Agents<br>Python NumPy file for co-evolution simulation results.This results include changes in the population of predator and prey, initial grid, and terminal grid.<br>pop_*.npy: population for predator and preyinit_grid_*.npy: initial gridfine_grid_*.npy: terminal grid*_diff_init_{X}_{Y}.npy: change initial populations*_diff_grid_*.npy: change grid size
标题：基于强化学习智能体（Reinforcement Learning Agents）的捕食者-猎物生态系统协同演化
本数据集为存储协同演化仿真结果的Python NumPy文件，所涵盖的仿真结果包括捕食者与猎物的种群动态变化、初始网格以及终态网格。
pop_*.npy：捕食者与猎物的种群数据
init_grid_*.npy：初始网格数据
fine_grid_*.npy：终态网格数据
*_diff_init_{X}_{Y}.npy：初始种群变化数据
*_diff_grid_*.npy：网格尺寸变化数据
提供机构：
Juwon Lee
创建时间：
2021-03-12
