Defining the problem of Observation Learning

Abstract

This article defines and formulates the problem of observation learning in robotic systems.

References in corpus (4)

• End to End Learning for Self-Driving Cars
• Generative Adversarial Imitation Learning
• Third-Person Imitation Learning
• Unsupervised state representation learning with robotic priors: a robustness benchmark

Cited by in corpus (1)

• O2A: One-shot Observational learning with Action vectors