OpenAI Blog
Mar 21, 2017
Third-person imitation learning
Related stories
arXiv Machine Learning
Aug 3
Mirror Learning
arXiv:2607. 28737v1 Announce Type: new Abstract: We investigate imitation learning through the lens of third-person observation and propose a framework for mirror learning: acquiring actionable policies from passive observation.
arXiv AI
Jun 19
Human-like autonomy emerges from self-play and a pinch of human data
arXiv:2606. 19370v1 Announce Type: cross Abstract: Self-play reinforcement learning has recently emerged as a way to train driving policies without any human data.
arXiv Machine Learning
Jul 31
Neurosymbolic Imitation Learning with Human Guidance: A Privileged Information Approach
arXiv:2605. 07166v2 Announce Type: replace Abstract: Imitation learning is widely used for learning to act in complex environments.
arXiv AI
Jun 9
Difference-Aware Retrieval Policies for Imitation Learning
arXiv:2606. 09758v1 Announce Type: cross Abstract: Parametric imitation learning via behavior cloning can suffer from poor generalization to out-of-distribution states due to compounding errors during deployment.
arXiv AI
Jun 18
R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
arXiv:2510. 18085v2 Announce Type: replace-cross Abstract: Imitation Learning (IL) is a natural way for humans to teach robots, particularly when high-quality demonstrations are easy to obtain.
arXiv Machine Learning
Jun 16
DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
arXiv:2506. 20668v3 Announce Type: replace-cross Abstract: We propose DemoDiffusion, a simple method for enabling robots to perform manipulation tasks by imitating a single human demonstration, without requiring task-specific training or paired human-robot data.
Hugging Face Trending Papers
Aug 6
Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation
Learning from demonstration (LfD) provides a developmental framework through which robots can develop motor skills by observing and imitating human dynamics, reducing reliance on explicit programming to teach a skill to a robot. The resulting human-like robot motion is recognised as a key factor in building trust and enabling natural collaboration in human-robot interaction.
arXiv Machine Learning
Aug 7
Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation
arXiv:2608. 06221v1 Announce Type: cross Abstract: Learning from demonstration (LfD) provides a developmental framework through which robots can develop motor skills by observing and imitating human dynamics, reducing reliance on explicit programming to teach a skill to a robot.
arXiv AI
Jun 11
Noise-Guided Transport for Imitation Learning
arXiv:2509. 26294v2 Announce Type: replace-cross Abstract: We consider imitation learning in the low-data regime, where only a limited number of expert demonstrations are available.
arXiv AI
Jul 10
Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning
arXiv:2607. 07859v1 Announce Type: new Abstract: Reinforcement learning (RL) research has increasingly shifted focus towards alignment, ensuring agents learn behaviors adhering to human values.
arXiv Machine Learning
Jul 31
Cross-Embodiment Transfer via Behavior-Aligned Representations
arXiv:2607. 27549v1 Announce Type: cross Abstract: Recent progress in large-scale imitation learning for robot manipulation has been driven by leveraging datasets across a wide range of robot embodiments.