🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
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Updated
May 21, 2024 - Python
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)
[T-RO] MATLAB implementation of PRobabilistically-Informed Motion Primitives (PRIMP), a learning-from-demonstration method on Lie group.
This repository hosts the physical robot code for ToolFlowNet. Published at CoRL '22.
ABC-DS: obstacle Avoidance with Barrier-Certified polynomial Dynamical Systems
This is the official Implementation of "Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning"
Code for the paper Exploring the Properties of Hypernetworks for Continual Learning in Robotics.
[ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.
LATEX report of my literature study into stable variable impedance learning.
Learning simple tasks with Kinova Gen3 robot
Trajectory Imitation using Neural Descriptor Fields
This repository presents the code for the Elastic Fast Marching Learning (EFML) demonstration learning algorithm.
Code for the paper Continual Learning from Demonstration of Robotic Skills
An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games
INQUIRE: INteractive Querying for User-aware Informative REasoning
Kernelized Movement Primitives (KMP)
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
This repository contains the source code for our paper: "Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation", accepted to IROS-2022. For more details, please refer to our project website at https://sites.google.com/view/san-fapl.
Online Signal Temporal Logic (STL) Monte-Carlo Tree Search for Guided Imitation Learning
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