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#

learning-from-demonstration

Here are 57 public repositories matching this topic...

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

  • UpdatedMay 10, 2024
  • Python
Rofunc

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

  • UpdatedOct 25, 2021
  • Python

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

  • UpdatedOct 25, 2021
  • Python

"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

  • UpdatedMar 25, 2022
  • Jupyter Notebook

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

  • UpdatedNov 29, 2016
  • C#

Kernelized Movement Primitives (KMP)

  • UpdatedOct 27, 2022
  • Jupyter Notebook

[IROS 2025] Human Demo Videos to Robot Action Plans

  • UpdatedJun 16, 2025
  • Python

Train a robot to see the environment and autonomously perform different tasks

  • UpdatedNov 22, 2017
  • C++

[CVPR 2025] Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning

  • UpdatedApr 1, 2025
  • Python

Code for the paper Continual Learning from Demonstration of Robotic Skills

  • UpdatedMay 3, 2023
  • Jupyter Notebook

An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games

  • UpdatedDec 10, 2022
  • Python

[ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

  • UpdatedFeb 10, 2022
  • Python

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)

  • UpdatedSep 10, 2022
  • Python

Online Signal Temporal Logic (STL) Monte-Carlo Tree Search for Guided Imitation Learning

  • UpdatedSep 29, 2022
  • Python

[ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.

  • UpdatedFeb 22, 2024
  • Python

A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.

  • UpdatedOct 19, 2022
  • Python

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