gdrl
deep-rl-class
| gdrl | deep-rl-class | |
|---|---|---|
| 1 | 13 | |
| 747 | 3,609 | |
| - | 1.5% | |
| 10.0 | 8.9 | |
| about 2 years ago | 5 days ago | |
| Jupyter Notebook | MDX | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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gdrl
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How to proceed further? (Learning RL)
I would recommend looking at Grokking Deep RL if you are looking for some hands on DRL practice in python without starting completely from scratch. You can find some of the jupyter notebooks here.
deep-rl-class
- RL for Navigation projects/tutorials
- Hugging Face Deep Reinforcement Learning Class
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Deep Reinforcement Learning Course by Hugging Face 🤗
Is this an extension to this course?
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[P] Learn diffusion models with Hugging Face course 🧨
Absolutely! We currently have a few other courses on transformers + NLP (hf.co/course) and deep RL (https://github.com/huggingface/deep-rl-class). Given the pace of ML research, we'll likely add new courses as new methods become adopted :)
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Is Xgboost the best model out there for time series prediction?
If you are to take this path though, I would recommend HuggingFace RL course, the very first lesson shows how to work with open source RL libraries in Google Colab. Then find some good market simulator on github. Ideally something that allows you to inject some custom data preprocessing.
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Beginning the journey in RL
The huggingface RL course https://github.com/huggingface/deep-rl-class (Go through the chapter and blogs one by one)
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How much math is required for pure-hobby machine learning? (Teaching AIs to play games for me, searching the web, or just messing around)
If you are starting your journey in ML, you should checkout what FastAI (https://www.fast.ai) offers. HuggingFace seems to be promising aswell. They launched a reinforcement learning course recently (https://github.com/huggingface/deep-rl-class) and are building a github for trained DL models
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Show HN: Fast Deep Reinforcement Learning Course
May also be of interest: https://github.com/huggingface/deep-rl-class
- Deep Reinforcement Learning Course from Hugging Face
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Train your first Deep Reinforcement Learning agent to land correctly on the moon 🌕 (Deep Reinforcement Learning Free Class by Hugging Face 🤗)
2️⃣ The hands-on 👉 https://github.com/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb
What are some alternatives?
World4AI - World4AI is an educational resource for AI.
deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
RL-Algorithms - Basic Reinforcement Learning algorithms implemented in python
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Practical_RL - A course in reinforcement learning in the wild
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
trax - Trax — Deep Learning with Clear Code and Speed
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.