Liam Fletcher's repositories
alm
Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
ardupilot
ArduPlane, ArduCopter, ArduRover, ArduSub source
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.
embodied
Fast reinforcement learning 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
mbrl-lib
Library for Model Based RL
pi-gen
Tool used to create the raspberrypi.org Raspbian images
google-research
Google Research
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
pymavlink
python MAVLink interface and utilities
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