Arduino FOC for BLDC and Stepper motors - Arduino Based Field Oriented Control Algorithm Library

Multi-Joint dynamics with Contact. A general purpose physics simulator.

A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).

Model-based design and verification for robotics.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Modularized Implementation of Deep RL Algorithms in PyTorch

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Disagreement-Regularized Imitation Learning

PyTorch implementation of SAC-Discrete.

Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"

PyTorch Implementation of the Maximum a Posteriori Policy Optimisation

A package for realtime wheeled robot motion planning and collision-free control

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

Automatic object XML generation for Mujoco

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Build a Jekyll blog in minutes, without touching the command line.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

Code for the paper "OpenAI Remote Rendering Backend"

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…

A tensorflow implementation of hindsight experience replay

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms