Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation

Author:

Oh HanbitORCID,Sasaki HikaruORCID,Michael BrendanORCID,Matsubara TakamitsuORCID

Funder

New Energy and Industrial Technology Development Organization

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference58 articles.

1. A survey of robot learning from demonstration;Argall;Robotics and Autonomous Systems,2009

2. A framework for behavioural cloning;Bain,1995

3. Robot programming by demonstration;Billard,2008

4. Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., et al. (2016). End to end learning for self-driving cars. In Neural information processing systems. deep learning symposium.

5. Brown, D. S., Goo, W., & Niekum, S. (2019). Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations. In Proceedings of the conference on robot learning (pp. 330–359).

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