There are 3 repositories under learning-from-demonstration topic.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
"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
A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
Kernelized Movement Primitives (KMP)
Train a robot to see the environment and autonomously perform different tasks
Code for the paper Continual Learning from Demonstration of Robotic Skills
[ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Online Signal Temporal Logic (STL) Monte-Carlo Tree Search for Guided Imitation Learning
An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
[NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
[ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.
Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.
Stable dynamical system learning using Euclideanizing flows
Learning second order dynamical system
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.
Interface between a DBN model and CNN models to learn from demonstrations
Augmented Joint-space Task-oriented Dynamical Systems
This repository hosts the physical robot code for ToolFlowNet. Published at CoRL '22.
Code for the paper Exploring the Properties of Hypernetworks for Continual Learning in Robotics.
Learning simple tasks with Kinova Gen3 robot
Project in Advanced Robotics course project at SDU 21/22. Implementation of learning method for skills for arm robots based on GMM with Rieamannian Manifolds
YODO: Inverse Reinforcement Learning
ABC-DS: obstacle Avoidance with Barrier-Certified polynomial Dynamical Systems
LATEX report of my literature study into stable variable impedance learning.