N13-Bonus_Unit_3-Advanced_Topics_in_Reinforcement_Learning-H7-Interesting_environments_to_try
中英文对照学习,效果更佳!
原课程链接:https://huggingface.co/deep-rl-course/unit3/deep-q-algorithm?fw=pt
Interesting Environments to try
值得尝试的有趣环境
We provide here a list of interesting environments you can try to train your agents on:
我们在这里提供了一个有趣的环境列表,您可以尝试在这些环境中培训您的工程师:
MineRL
MineRL

MineRL is a Python library that provides a Gym interface for interacting with the video game Minecraft, accompanied by datasets of human gameplay.
Every year, there are challenges with this library. Check the website
MineRL MineRL是一个Python库,它提供了一个健身房界面,用于与视频游戏《我的世界》进行交互,并伴随着人类游戏的数据集。每年,这个图书馆都会面临挑战。查看网站
To start using this environment, check these resources:
要开始使用此环境,请查看以下资源:
DonkeyCar Simulator
什么是MineRL?MineRLMineRL文档和教程中的第一步Donkey Car模拟器

Donkey is a Self Driving Car Platform for hobby remote control cars.
This simulator version is built on the Unity game platform. It uses their internal physics and graphics and connects to a donkey Python process to use our trained model to control the simulated Donkey (car).
To start using this environment, check these resources:
驴车驴是一个爱好遥控汽车的自动驾驶汽车平台。这个模拟器版本是建立在Unity游戏平台上的。它使用它们的内部物理和图形,并连接到驴子Python进程,以使用我们训练的模型来控制模拟的驴子(汽车)。要开始使用此环境,请查看以下资源:
DonkeyCar Simulator documentation
Donkey Car模拟器文档
Learn to Drive Smoothly (Antonin Raffin’s tutorial) Part 1
学会平稳驾驶(安东宁·拉芬的教程)第一部分
Learn to Drive Smoothly (Antonin Raffin’s tutorial) Part 2
学会平稳驾驶(安东宁·拉芬的教程)(下)
Learn to Drive Smoothly (Antonin Raffin’s tutorial) Part 3
学会平稳驾驶(安东宁·拉芬的教程)第三部分
Pretrained agents:
训练有素的特工:
Starcraft II
Https://huggingface.co/araffin/tqc-donkey-mountain-track-v0https://huggingface.co/araffin/tqc-donkey-avc-sparkfun-v0https://huggingface.co/araffin/tqc-donkey-minimonaco-track-v0Starcraft II

Starcraft II is a famous real-time strategy game. DeepMind has used this game for their Deep Reinforcement Learning research with Alphastar
Alphastar星际争霸II是一款著名的实时战略游戏。DeepMind已经将这款游戏用于与Alphastar的深度强化学习研究
To start using this environment, check these resources:
要开始使用此环境,请查看以下资源:
Author
星际争霸体操A。I.学习玩《星际争霸2》(强化学习)教程作者
This section was written by Thomas Simonini
本部分由托马斯·西莫尼尼撰写