Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning

31 December 2019

Papers citing "Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning"

7 / 7 papers shown

Title
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking Julius Ott Lorenzo Servadei Gianfranco Mauro Thomas Stadelmayer Avik Santra Robert Wille OOD UQCV 26 3 0 26 Oct 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles Alec Farid Sushant Veer Boris Ivanovic Karen Leung Marco Pavone 35 24 0 25 Jul 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 23 57 0 11 Apr 2022
Quantifying Multimodality in World Models Andreas Sedlmeier Michael Kölle Robert Muller Leo Baudrexel Claudia Linnhoff-Popien OffRL 20 1 0 14 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015