(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"
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Aug 31, 2022 - Python
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cma-es
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A universal supervisor controller and ER suite for Webots that can be adapted to any wheeled robot morphology with ease. The project is also setup to allow for easy Reinforcement Learning experimentation with some select algorithms (CMA-ES, Novlty Search, MAP-Elites) and neural networks (fixed and recurrent).
machine-learning neural-network robotics artificial-intelligence experimentation evolutionary-computation evolutionary-robotics webots novelty-search cma-es map-elites deap-library
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Apr 4, 2021 - Python
Python codes for Assessment of thermal mode-based kinetic models via stratified cross-validation and TPE optimization
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Sep 3, 2025 - Python
Python implementation of Regulated Evolution Strategies with Covariance Matrix Adaption for continuous "Black-Box" optimization problems.
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Aug 23, 2022 - Python
Black Box Optimizers for Complex Systems
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Mar 19, 2025 - Python
Implementation of Farm Surveillance Problem introduced in Optimizing Camera Placement for Chicken Farm Monitoring
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Jan 23, 2025 - Python
Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
deep-learning optimization openai-gym artificial-intelligence evolutionary-algorithms evolutionary-computation quality-diversity cma-es map-elites
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Oct 3, 2022 - Python
A Java package for scientific computing
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May 22, 2018 - Java
[BSc Thesis] PriSM: Prior-Guided Search Methods for Query Efficient Black-Box Adversarial Attacks
machine-learning thesis genetic-algorithm evolutionary-algorithms query-optimization saliency-map robustness adversarial-machine-learning adversarial-examples cma-es adversarial-attacks bsc-thesis adversarial-robustness square-attack transfer-based-attacks machine-learning-robustness
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Oct 26, 2025 - Python
Covariance Matrix Adaptation Evolutionary Strategy algorithm Matlab implementation(Simplified)
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Sep 22, 2019 - MATLAB
evolutionary-algorithms hebbian-learning voxel-based cma-es weight-pruning hnn soft-robots decentralized-controllers evogym
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Jan 24, 2024 - Python
GECCO 2025: Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling Techniques
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Sep 26, 2025 - HTML
Connecting biologists, medical researchers & molecule nerds — because science is ❤️........
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Aug 25, 2025 - TypeScript
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
matlab evolutionary-algorithms black-box-optimization evolutionary-computation random-search matlab-library evolution-strategies benchmark-functions cma-es evolutionary-computing test-functions large-scale-optimization derivative-free-optimization gradient-free-optimization zeorth-order-optimization direct-search
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Aug 17, 2019 - MATLAB
A personal Python project using Expectimax and CMA-ES to optimise the 2048 game.
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Dec 2, 2024 - Python
🚀 Reinforcement learning from scratch — including value-based and policy-based methods, alongside search-driven approaches from evolutionary strategies like Genetic Algorithms to adaptive techniques like Simulated Annealing, PSO, and CMA-ES
python qlearning genetic-algorithm dqn policy-gradient reinforcement-learning-algorithms black-box-optimization actor-critic super-mario-bros proximal-policy-optimization cma-es simulated-annealing-algorithm partical-swarm-optimization
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Sep 24, 2025 - Python
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