An amateur attempt at breeding a chess-playing AI.
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Updated
Jun 7, 2024 - C++
An amateur attempt at breeding a chess-playing AI.
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
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
The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
ecr: Evolutionary Computation in R (version 2)
Tiny Genetic Algorithm in Python
Gradient-based Covariance Matrix Adaptation Evolutionary Strategy for Real Blackbox Optimization
Dissertation for Imperial BEng Maths and CS
Implementation of EDCA-Net published in International Journal of Neural System.
Meta-Evolver is a tool for a visual representation of the various dynamic environment models that correlate in multi-layered system. Meta-Evolved provides the environment for testing dynamic spatial adaptation, where the environment is composed of algorithms and parametric definitions.
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
A tool for developing reinforcement learning algorithms focused in stock prediction
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
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