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This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Isaac Gym Reinforcement Learning Environments
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
A library of reinforcement learning components and agents
A Collection of Variational Autoencoders (VAE) in PyTorch.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
PFRL: a PyTorch-based deep reinforcement learning library
Robotics Toolbox for Python
A collection of reference environments for offline reinforcement learning
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Introduction to Autonomous Robots
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Model-based design and verification for robotics.
A simulation framework for Robotic Mobile Fulfillment Systems