This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Distributed Evolutionary Algorithms in Python

Numerical Black-Box Optimization Benchmarking Framework

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

How to use wandb?

Minimal implementation of multi-agent reinforcement learning algorithms

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Symbolic physics learner: Discovering governing equations via Monte Carlo tree search

Python implementation of SYMBOL

Genetic Learning Particle Swarm Optimization (GLPSO)

《Python AI游戏编程入门》配套代码库

A curated list of awesome exploration RL resources (continually updated)

An official Pytorch implementation for the paper "Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making".

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

Experiments for a comparative analysis on 3D Gaussian Splatting and Instant NGP for complex scenes and sparse-views

A deep learning framework for symbolic optimization.

A Tutorial for DEAP

Python Implementations of Monte Carlo Tree Search

👊SpringBoot+Zookeeper+Dubbo打造分布式高并发商品秒杀系统

[ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression via joint supervised learning"

A living benchmark framework for symbolic regression

[ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data"

Pytorch implementation of set transformer

Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

for testing metaheuristic algorithm which is specific for continuous search spaces like Particle Swarm optimizations, Differential evolutions, etc, one can be sure about the performances of algorit…