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A collection of reference environments for offline reinforcement learning
A collection of awesome (gem-packaged) Jekyll themes - Add your theme!
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
A resource for learning about Machine learning & Deep Learning
simple shell script that allows controll of brightness by executing them. This allowed only one tee write path instead of all and thus fixing a potential security risc.
[CVPR 2022] Official code release of ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
A collection of resources and papers on Diffusion Models
This repo has the expert data generation infrastructure and Pytorch implementation of MPiNets.
Ensemble-of-Costs Guided Diffusion For Motion Planning
pawanw17 / RoboticsAcademy
Forked from JdeRobot/RoboticsAcademyLearn Robotics with JdeRobot
Infrastructure for robotic applications
Generic robotic controllers to accompany ros_control
Massively parallel rigidbody physics simulation on accelerator hardware.
Recyclable Robotic Sorting with Custom Synthetic Dataset and Annotations
A curated list of awesome links and software libraries that are useful for robots.
Target-oriented robotic manipulations to grasp an initially invisible target
Reinforcement learning algorithms for robot control tasks
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
fixed https://moxew.deviantart.com/art/Conky-Spotify-Display-383799444
PyTorch implementation of deep reinforcement learning algorithms