Safe Reinforcement Learning with Model Uncertainty Estimates

Björn Lütjens
Björn Lütjens

international conference on robotics and automation, 2019.

Cited by: 39|Views20
EI

Abstract:

Many current autonomous systems are being designed with a strong reliance on black box predictions from deep neural networks (DNNs). However, DNNs tend to be overconfident in predictions on unseen data and can give unpredictable results for far-from-distribution test data. The importance of predictions that are robust to this distribution...More

Code:

Data:

Your rating :
0

 

Tags
Comments