Top 20 reinforcement-learning-algorithm Open-Source Projects

• stable-baselines3

  46 7,894 8.2 Python

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

  

Project mention: Sim-to-real RL pipeline for open-source wheeled bipeds | /r/robotics | 2023-12-09

The latest release (v3.0.0) of Upkie's software brings a functional sim-to-real reinforcement learning pipeline based on Stable Baselines3, with standard sim-to-real tricks. The pipeline trains on the Gymnasium environments distributed in upkie.envs (setup: pip install upkie) and is implemented in the PPO balancer. Here is a policy running on an Upkie:

• stable-baselines

  10 4,000 0.0 Python

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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• DI-engine

  3 2,517 8.8 Python

  OpenDILab Decision AI Engine

  

Project mention: Anyone have experience with DI-Engine? | /r/reinforcementlearning | 2023-05-04

I posted a while back asking people what frameworks they were using for RL research. Recently i stumbled upon DI-Engine which looks promising! Actively maintained, with a diverse set of algorithms already implemented.

• PPO-PyTorch

  2 1,453 2.8 Python

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

• rex-gym

  1 957 0.0 Python

  OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

• course-content-dl

  4 708 8.4 Jupyter Notebook

  NMA deep learning course

  

• autonomous-learning-library

  2 638 7.6 Python

  A PyTorch library for building deep reinforcement learning agents.

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• PPO-for-Beginners

  1 639 4.2 Python

  A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

• awesome-decision-transformer

  1 550 5.3

  A curated list of Decision Transformer resources (continually updated)

  

• stable-baselines3-contrib

  6 427 6.7 Python

  Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

  

Project mention: Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm. | /r/reinforcementlearning | 2023-12-09

# https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/blob/master/sb3_contrib/tqc/tqc.py :

• Safe-Policy-Optimization

  1 287 8.1 Python

  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

  

• awesome-reinforcement-learning-lib

  1 275 0.6

  GitHub's code repository is all you need

• CS-7641-Machine-Learning-Notes

  1 197 0.0

  In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.

• pytorch-learn-reinforcement-learning

  3 139 0.0 Python

  A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

• goNEAT

  1 73 4.7 Go

  The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

• l2rpn-baselines

  1 74 5.5 Python

  L2RPN Baselines a repository to host baselines for l2rpn competitions.

  

• R-NaD

  1 30 4.7 Python

  Experimentation with Regularized Nash Dynamics on a GPU accelerated game

• tinymind

  1 7 7.1 C++

  Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.

Project mention: Is there anything like Embedded Artificial Intelligence & Machine Learning? Can anyone tell me more about it? | /r/embedded | 2023-12-07

Take a look at TinyMind: https://github.com/danmcleran/tinymind

• soft-actor-critic

  1 6 0.0 Python

  Implementation of the Soft Actor Critic algorithm using Pytorch. (by thomashirtz)

• Reinforcement_Learning

  1 5 1.9 Jupyter Notebook

  RL Algorithms with examples in Python / Pytorch / Unity ML agents

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reinforcement-learning-algorithms related posts

• Sim-to-real RL pipeline for open-source wheeled bipeds
  2 projects | /r/robotics | 9 Dec 2023
• [Question] Why there is so few algorithms implemented in SB3?
  1 project | /r/reinforcementlearning | 22 Jul 2023
• Stable baselines! Where my people at?
  1 project | /r/reinforcementlearning | 5 Jul 2023
• Exporting an A2C model created with stable-baselines3 to PyTorch
  1 project | /r/reinforcementlearning | 5 Jun 2023
• Stable-Baselines3 v1.8 Release
  2 projects | /r/reinforcementlearning | 12 Apr 2023
• Distributed implementation tips
  1 project | /r/reinforcementlearning | 15 Mar 2023
• Is deep learning really so annoying?
  1 project | /r/computervision | 13 Mar 2023
• A note from our sponsor - InfluxDB
  www.influxdata.com | 27 Apr 2024

  Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

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