119 skills found · Page 1 of 4
openai / Evolution Strategies StarterCode for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
MorvanZhou / Evolutionary AlgorithmEvolutionary Algorithm using Python, 莫烦Python 中文AI教学
hardmaru / EstoolEvolution Strategies Tool
RobertTLange / EvosaxEvolution Strategies in JAX 🦎
CyberAgentAILab / CmaesPython library for CMA Evolution Strategy.
CMA-ES / Libcmaeslibcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
atgambardella / Pytorch EsEvolution Strategies in PyTorch
VsonicV / Es Fine Tuning PaperThis repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
mnemox-ai / Tradememory ProtocolMemory layer for AI trading agents. Outcome-weighted recall, autonomous strategy evolution, 15 MCP tools.
alirezamika / EvostraA fast Evolution Strategy implementation in Python
EMI-Group / MetadeMetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.
mdibaiee / Flappy EsFlappy Bird AI using Evolution Strategies
PatrykChrabaszcz / Canonical ES AtariBenchmarking Canonical Evolution Strategies for Playing Atari
srom / Cma EsCovariance Matrix Adaptation Evolution Strategy (CMA-ES)
Evolutionary-Intelligence / EvolutionaryComputation A Modern Perspective ECAMPEvolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).
goktug97 / EstorchEvolution Strategy Library
tcmxx / UnityTensorflowKerasUnity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.
jparkerholder / DvD ESCode from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).
alirezamika / Flappybird EsAn AI agent Learning to play Flappy Bird using Evolution Strategies and deep learning models.
mattdesl / SnesSeparable Natural Evolution Strategy in JavaScript
