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This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learning under Noisy Observations
Python Implementation of Reinforcement Learning: An Introduction
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
Markov Chain Monte Carlo acceleration by Differential Evolution
julienmalard / dssat-csm-os
Forked from DSSAT/dssat-csm-osDSSAT Cropping System Model
A collection of Jupyter notebooks that demonstrate usage of PCSE
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Variational heteroscedastic Gaussian process regression
Gaussian process regression with feature selection
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/