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alm

Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective

ardupilot

ArduPlane, ArduCopter, ArduRover, ArduSub source

avdasi2

Some pymavlink examples

biltaiplay

currot

Source Code for the ICML Paper "Curriculum Reinforcement Learning via Constrained Optimal Transport"

djitellopy

DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

dreamerv2

Mastering Atari with Discrete World Models

dreamerv3

Mastering Diverse Domains through World Models

dronekit-python

DroneKit-Python library for communicating with Drones via MAVLink.

easytello

An easy to use library to support DJI Tello scripting in Python 3

embodied

Fast reinforcement learning research

google-research

Google Research

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-jsbsim

A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

industryweek2020

mbrl-lib

Library for Model Based RL

pi-gen

Tool used to create the raspberrypi.org Raspbian images

py-network-rail-feeder

This is an Python implementation to collect and download data from UK Network Rail Data Feed

pydreamer

PyTorch implementation of DreamerV2 model-based RL algorithm

pygymtrim

Python trimming tool for fixed-wing aircraft wrapped in an Gym environment

pymavlink

python MAVLink interface and utilities

pymxs

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

sbx

SBX: Stable Baselines Jax (SB3 + Jax)

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3

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

stable-baselines3-contrib

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

starling_controller_templates

CookieCutter Templates for Building Custom Starling Applications

vds

Code for Automatic Curriculum Learning through Value Disagreement