Python reinforcement-learning-algorithms

Open-source Python projects categorized as reinforcement-learning-algorithms

Top 13 Python reinforcement-learning-algorithm Projects

  • stable-baselines3

    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

    A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • DI-engine

    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

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

  • rex-gym

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

  • autonomous-learning-library

    A PyTorch library for building deep reinforcement learning agents.

  • PPO-for-Beginners

    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.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. 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.

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  • stable-baselines3-contrib

    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

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

  • pytorch-learn-reinforcement-learning

    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.

  • l2rpn-baselines

    L2RPN Baselines a repository to host baselines for l2rpn competitions.

  • R-NaD

    Experimentation with Regularized Nash Dynamics on a GPU accelerated game

  • soft-actor-critic

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

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python reinforcement-learning-algorithms related posts

Index

What are some of the best open-source reinforcement-learning-algorithm projects in Python? This list will help you:

Project Stars
1 stable-baselines3 7,894
2 stable-baselines 4,000
3 DI-engine 2,517
4 PPO-PyTorch 1,453
5 rex-gym 957
6 autonomous-learning-library 638
7 PPO-for-Beginners 637
8 stable-baselines3-contrib 422
9 Safe-Policy-Optimization 287
10 pytorch-learn-reinforcement-learning 139
11 l2rpn-baselines 74
12 R-NaD 30
13 soft-actor-critic 6

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