Python 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases machine-learningtutorialreinforcement-learningdeep-learningcnntransformerganrnnpruningtransfer-learn
Python replication for Sutton & Barto's bookReinforcement Learning: An Introduction (2nd Edition) If you have any confusion about the code or want to report a bug, please open an issue instead of emailing me directly, and unfortunately I do not have exercise answers for the book. ...
GitHub项目地址：https://github.com/agi-brain/xuance.gitgithub.com/agi-brain/xuance.git 先说...
Github：https://github.com/geek-ai/MAgent 环境：Linux、OS X、Python 2.7 or python 3 7、项目...
https://github.com/devsisters/DQN-tensorflow 本篇博客主要是讲解一下该代码运行环境的如何搭建,采用 conda 配置。 首先看下 README 上的内容, 主要是requirement最重要: 考虑到运行的兼容性,于是决定使用python2.7版本环境运行,下面开始 conda 的配置:
Course in Deep Reinforcement Learning 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 reinfo...
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 ...
本书的代码包还在Github上托管,具体地址为https://github.com//PacktPublishing/Hands- On- Reinforcement- Learning- with- Python。 如果代码有更新,同时也会在现有的 Github 代码库中更新。 另外,还可以从 https://github.com/PacktPublishing/ 丰富的图书和视频目录中获得其他代码包。敬请关注! 彩页下载 本书还...
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 ...
Python library for Reinforcement Learning. Contribute to MushroomRL/mushroom-rl development by creating an account on GitHub.