Reinforcement-Learning
deep-rl-class
| Reinforcement-Learning | deep-rl-class | |
|---|---|---|
| 1 | 13 | |
| 4,091 | 3,635 | |
| - | 2.2% | |
| 0.0 | 8.9 | |
| almost 4 years ago | 3 days ago | |
| Jupyter Notebook | MDX | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Reinforcement-Learning
deep-rl-class
- RL for Navigation projects/tutorials
- Hugging Face Deep Reinforcement Learning Class
-
Deep Reinforcement Learning Course by Hugging Face 🤗
Is this an extension to this course?
-
[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 :)
-
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.
-
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)
-
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
-
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
-
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?
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
RL-Algorithms - Basic Reinforcement Learning algorithms implemented in python
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
gdrl - Grokking Deep Reinforcement Learning
Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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.
snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake
trax - Trax — Deep Learning with Clear Code and Speed
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Practical_RL - A course in reinforcement learning in the wild