🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
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Updated
Sep 19, 2024 - Python
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Assetto Corsa OpenAI Gym Environment
LATEX report of my literature study into stable variable impedance learning.
ABC-DS: obstacle Avoidance with Barrier-Certified polynomial Dynamical Systems
PyTorch code for TAPAS-GMM.
Official repository of Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
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.
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.
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)
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