Welcome to the documentation for the Axelrod Python library — Axelrod 0.0.1 documentation

Here is quick overview of the current capabilities of the library: Over 100 strategies from the literature and some exciting original contributions Classic strategies like TiT-For-Tat, WSLS, and variants Zero-Determinant and other Memory-One strategies Many generic strategies that can be used to define an array of popular strategies, including finite state machines, strategies that hunt for patterns in other strategies, and strategies that combine the effects of many others Strategy tra

2 mentions: @jmsunico@davilagrau
Keywords: python
Date: 2020/02/14 12:54

Referring Tweets

@jmsunico sn-news: #maths #sw A research tool for the Iterated Prisoner's Dilemma t.co/l3MnFywyHJ t.co/nZNYCObW3Y

Related Entries

Read more Pythonによる機械学習入門 ~SVMからDeep Learningまで~
0 users, 0 mentions 2018/04/22 03:41
Read more GitHub - fchollet/keras-resources: Directory of tutorials and open-source code repositories for work...
0 users, 0 mentions 2018/04/22 03:41
Read more KaggleのWinner solutionにもなった「K近傍を用いた特徴量抽出」のPython実装 - u++の備忘録
136 users, 0 mentions 2018/06/23 23:13
Read more Pythonによる機械学習入門〜基礎からDeep Learningまで〜
0 users, 0 mentions 2018/04/25 17:22
Read more Training a Sentiment Analyzer using AllenNLP (in less than 100 lines of Python code) – Real-World Na...
0 users, 0 mentions 2018/10/17 19:14