Attentive One-Shot Meta-Imitation Learning From Visual Demonstration
Vishal Bhutani,Anima Majumder,Madhu Vankadari,Samrat Dutta,Aaditya Asati,Swagat Kumar,Vishal Bhutani,Anima Majumder,Madhu Vankadari,Samrat Dutta,Aaditya Asati,Swagat Kumar
The ability to apply a previously-learned skill (e.g., pushing) to a new task (context or object) is an important requirement for new-age robots. An attempt is made to solve this problem in this paper by proposing a deep meta-imitation learning framework comprising of an attentive-embedding net-work and a control network, capable of learning a new task in an end-to-end manner while requiring only ...
