Metadata-Version: 2.1
Name: ReverseEncodingTree
Version: 1.2
Summary: library for the Reverse Encoding Tree
Home-page: https://github.com/HaolingZHANG/ReverseEncodingTree
Author: Haoling Zhang, Chao-Han Huck Yang
Author-email: zhanghaoling@genomics.cn
License: Apache
Keywords: Evolutionary Strategy,NeuroEvolution
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: graphviz
Requires-Dist: neat-python
Requires-Dist: sklearn
Requires-Dist: gym
Requires-Dist: six
Requires-Dist: pandas

NeuroEvolution is one of the most competitive evolutionary learning strategies for designing novel neural networks for use in specific tasks. This library implemented an evolutionary strategy named Reverse Encoding Tree (RET), and expanded this strategy to evolve neural networks (Bi-NEAT and GS-NEAT). The experiments of RET contain the landscapes of Mount Everest and Rastrigin Function, and  those of RET-based NEAT include logic gates, Cartpole V0, and Lunar Lander V2.


