Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
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Updated
Oct 24, 2017 - Python
Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
https://www.researchgate.net/publication/350344034_Sequence-based_model_of_cumulative_cultural_evolution Evolutionary Algorithm based on Cumulative Cultural Evolution. Uses a mix of gradient descent - individual learning - and inheritance - copying - that selection acts upon. Serves as sequene-based model of cumulative cultural evolution - Focus…
Particle Swarm Optimization and Evolutionary Strategy
Dissertation for Imperial BEng Maths and CS
A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.
Genetic algorithm final project
Evolutionary Path Finding.
Evolutionary computing and variational optimization for training neural networks
Projekt na przedmiot Algorytmy Genetyczne
Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---
A multi agent re-enforcement learning environment for many on many bot fights between space ships
Solutions to OpenAI-Gym environments.
Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.
Implementation of RBF nerual network trained using evolutionary strategy for my computational intelligence final project
parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp
First assignment for Evolutionary Computing class at @Vrije-Universiteit-Amsterdam
Implementation of EDCA-Net published in International Journal of Neural System.
Small experiments on MNIST to evaluate ES and GA against SGD
Experiments with Guided Evolutionary Strategies for Behavioral Robotics course project at Innopolis Univeristy
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
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