Python implementation of CMA-ES
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Updated
Sep 24, 2017 - Python
Python implementation of CMA-ES
Homework of Principles of Computational Intelligence course in CE department of Amirkabir University of Technology (Tehran Polytechnic) - Fall 2020.
Contains code for RL and NES scheduling algorithms to optimize a flood control problem in a water dam
Evolutionary Algorithm
An open (accessible parameters), feed-forward-only NN (neural net) library to use it in an dynamic and free way in evolutionary algorithms. Design is influenced by the Keras Sequetial model.
Python implementation of the Active-Set (1+1)-ES
Adapting to unseen partners in multi-agent Reinforcement Learning (MARL) using Evolutionary Strategies (ES).
Deep Learning Evolved: Overcoming Sub-Optimal Local Minima with $(\mu / \rho + \lambda)$-Evolution Strategies
Using Genetic Algorithm to solve Optimization Problems
Research Project
This Python script uses Evolution Strategy (ES) to minimize maximum lateness on a single machine (1||Lmax).
Implementation of Evolution Strategies (ES), Particle Swarm Optimization (PSO) and Differential Evolution (DE) from scratch
OpenAI's ES used in a feudal hrl style
Evolution Playground - an interactive webapp providing a visual demonstration of Evolutionary Strategies algorithms solving a Reinforcement Learning task in a physically simulated environment.
Framework for benchmarking black-box adversarial attacks, modeled with ES.
Approximating images with triangles by evolution strategies
Implementation of Evolution Strategy with variable Mutation Rates
Two simulations that may explain the origin of morality within the framework of evolutionary game theory.
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