Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning

5 December 2021

Papers citing "Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning"

7 / 7 papers shown

Title
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation Mohit Prashant Arvind Easwaran Suman Das Michael Yuhas OffRL 69 1 0 07 Mar 2025
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 68 3 0 18 Sep 2024
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection L. Nasvytis Kai Sandbrink Jakob N. Foerster Tim Franzmeyer Christian Schroeder de Witt OffRL OODD 33 9 0 10 Apr 2024
How to Enable Uncertainty Estimation in Proximal Policy Optimization Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim J. M. Buhmann UQCV 13 1 0 07 Oct 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 50 24 0 03 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015