learning-from-demonstration
There are 47 repositories under learning-from-demonstration topic.
yrlu/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Skylark0924/Rofunc
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
jangirrishabh/toyCarIRL
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
jangirrishabh/Overcoming-exploration-from-demos
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
jhu-lcsr/good_robot
"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
rrahmati/roboinstruct-1
A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution
jhu-lcsr/costar_plan
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
yanlongtu/robInfLib-matlab
Kernelized Movement Primitives (KMP)
rrahmati/roboinstruct-2
Train a robot to see the environment and autonomously perform different tasks
abakisita/ros_dmp
Dynamic Motion Primitives
sayantanauddy/clfd
Code for the paper Continual Learning from Demonstration of Robotic Skills
DesikRengarajan/LOGO
[ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
xingyul/revolver
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)
castacks/mcts-stl-planning
Online Signal Temporal Logic (STL) Monte-Carlo Tree Search for Guided Imitation Learning
felix-kerkhoff/DQfD
An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games
wanxinjin/Learning-from-Sparse-Demonstrations
A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.
OscarHuangWind/Learning-from-Intervention
[ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.
m-hasan-n/hlp
Implementation of the paper "Human-like Planning for Reaching in Cluttered Environments" (ICRA 2020)
DesikRengarajan/EMRLD
[NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
GT-RAIL/clamp
Combined Learning from Demonstration and Motion Planning
mrana6/euclideanizing_flows
Stable dynamical system learning using Euclideanizing flows
wanxinjin/IOC-from-Incomplete-Trajectory-Observations
Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.
SinaMirrazavi/SESODS_lib
Learning second order dynamical system
SMARTlab-Purdue/SAN-FAPL
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.
epfl-lasa/JT-DS-Learning
Augmented Joint-space Task-oriented Dynamical Systems
ercarpio/DBN_CNN_LFD
Interface between a DBN model and CNN models to learn from demonstrations
HARPLab/inquire
INQUIRE: INteractive Querying for User-aware Informative REasoning
martinschonger/abc-ds
ABC-DS: obstacle Avoidance with Barrier-Certified polynomial Dynamical Systems
SarthakJShetty/tfn-robot
This repository hosts the physical robot code for ToolFlowNet. Published at CoRL '22.
sebastianbergner/ExploringCLFD
Code for the paper Exploring the Properties of Hypernetworks for Continual Learning in Robotics.
Learning-in-robotics/kinova_learning
Learning simple tasks with Kinova Gen3 robot
AdrianPrados/ElasticFastMarchingLearning
This repository presents the code for the Elastic Fast Marching Learning (EFML) demonstration learning algorithm.
ManuOtel/Impedance-Encoding-UR5
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
tanmaybinaykiya/YODO-Inverse-Reinforcement-Learning
YODO: Inverse Reinforcement Learning
rickstaa/thesis-stable-variable-impedance-learning
LATEX report of my literature study into stable variable impedance learning.
stanl1y/tdil
This is the official Implementation of "Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning"