gdrl VS Practical_RL

Compare gdrl vs Practical_RL and see what are their differences.

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gdrl Practical_RL
1 2
747 5,716
- 0.5%
10.0 6.0
about 2 years ago 20 days ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License The Unlicense
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

gdrl

Posts with mentions or reviews of gdrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.

Practical_RL

Posts with mentions or reviews of Practical_RL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-25.

What are some alternatives?

When comparing gdrl and Practical_RL you can also consider the following projects:

deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

World4AI - World4AI is an educational resource for AI.

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

awesome-rl - Reinforcement learning resources curated

baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

redisai-examples - RedisAI showcase