⚗️ Synthesize 🧠 neural 🕸️networks to 🎮 control quadruped 🤖 robot 🐕 dog Unitree A1 with 💁 reinforcement 🤔 learning

PFRL: a PyTorch-based deep reinforcement learning library

A toolkit for reproducible reinforcement learning research.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …

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

A universal flight control tuning framework

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

A toolkit for developing and comparing reinforcement learning algorithms.

Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Gaussian processes framework in python

Implementation of the Learning Model Predictive Controller for autonomous racing

Methods to soundly verify deep neural networks

Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Code for the Deep Learning with PyTorch lesson

Repo for the Deep Learning Nanodegree Foundations program.