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PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement ... [More]
A collection of Algorithms from my Thesis work. This code is mostly not production-ready or documented and under heavy development. Please contact me if you have specific questions. Thanks, Gabe. Cantor Encoder - A variant of cantor coding. A backpropagation algorithm that allows for the use of ... [More]
A C++ library for discrete factor reinforcement learning. Includes interfaces to RL-Glue and some examples environments. Doxygen-generated documentation
Implementación de Técnicas de Aprendizaje por Refuerzo mediante el algoritmo Q-Learning para la cátedra Inteligencia Artificial (Ciclo 2013) perteneciente a UTN Facultad Regional Resistencia)
Este proyecto involucra el análisis, la prueba, y la implementación en el lenguaje JAVA de algoritmos de aprendizaje por refuerzo, orientado a la generación de nuevas acciones como combinación aquellas definidas en el dominio de problema. Con estos objetivos, se intenta probar que la resolución ... [More]
Reinforcement Learning with Genetic Programming in Java. A controller for a Snake Wars agent is evolved. In the auto-run demo, the one on the top left is random, the one on the bottom right is evolved. The evolved snake quickly learns to outperform the random player.
NOTE: as with any active project, OpenNERO is a work in progress and many updates are frequently being made. If you have trouble with OpenNERO, check the discussion group and then consider submitting an issue. We also welcome any helpful comments or suggestions on this site or the platform at ... [More]
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