Python aunum/gold Star350 Reinforcement Learning in Go gogolangmachine-learningreinforcement-learningreinforcementlearning UpdatedOct 22, 2020 Go GitHub's code repository is all you need reinforcement-learningr
git clone https://github.com/ShangtongZhang/reinforcement-learning-an-introduction.git cd reinforcement-learning-an-introduction python chapterXX/XXX.py Contribution This project contains almost all the programmable figures in the book. However, when I completed this project, the book is still in dr...
这是我的Github仓库：https://github.com/XinJingHao/Deep-Reinforcement-Learning-Algorithms-with-Pytorch...
Explore the combination of neural network and reinforcement learning. Algorithms and examples in Python & PyTorch Have you heard about the amazing results achieved byDeepmind with AlphaGo Zeroand byOpenAI in Dota 2? It's all about deep neural networks and reinforcement learning. Do you want to kn...
Benchmark the different Reinforcement Learning algorithms Provide tuned hyperparameters for each environment and RL algorithm Have fun with the trained agents! Github repo:https://github.com/DLR-RM/rl-baselines3-zoo Documentation:https://stable-baselines3.readthedocs.io/en/master/guide/rl_zoo.html ...
A 环境表示 —— 我借助标准的gym环境模拟器,实现一套股票买卖环境 —— 我基于github.com/hackthemarke提供的stock环境做了一小部分修改。 A1 . 基于国内A股构造环境,数据来自于zipline 的A股 bundle ,所以需要先ingest A 股数据(见《zipline的A股改造版本》),而且在回测框架外调用数据需要使用(见《Quantopian ...
Source Code for the book "Deep Reinforcement Learning with Python", second edition by Nimish Sanghi Local Install - Ubuntu and Windows WSL2 Please install following ubuntu packages using: apt-get install swig cmake ffmpeg freeglut3-dev xvfb git-lfs git lfs install Create a new venv or con...
With Apple Silicon M1 chips, make sure you are using the arm64-built python (e.g. here). Running the following lines of code wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py python collect_env.py should display OS: macOS *** (arm64) and ...
这两周参加了RLChina2020的在线暑期学校,正式地了解了一下强化学习里的基本概念。下面作为入门练习,我用Python写了一个简单的走迷宫的应用,它分别使用DP,MonteCarlo和Off-policy learning解决一些最基本的迷宫问题。 迷宫的基本设定 我们用一个M×N维矩阵表示一个迷宫,矩阵的每个数代表在迷宫中移动到该点所带来的即时...
Benchmark the different Reinforcement Learning algorithms Provide tuned hyperparameters for each environment and RL algorithm Have fun with the trained agents! Github repo:https://github.com/DLR-RM/rl-baselines3-zoo Documentation:https://stable-baselines3.readthedocs.io/en/master/guide/rl_zoo.html ...