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Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
A code for reading data from AspenDynamics.
Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.
Collection of reinforcement learning algorithms
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Reinforcement learning for chemical engineering process design with Aspen Simulator.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Introduction to Dynamic Simulation using Aspen HYSYS
Massively Parallel Deep Reinforcement Learning. 🔥
The Greenhouse Modelica Library aims at providing a fully open-source modeling framework for the simulation of greenhouse climate, crop yield and the energy integration of greenhouses with thermal …
Evolutionary algorithm toolbox and framework with high performance for Python
python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，…
