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Rethinking Out-of-Distribution Detection for Reinforcement Learning:
  Advancing Methods for Evaluation and Detection

Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection

10 April 2024
L. Nasvytis
Kai Sandbrink
Jakob N. Foerster
Tim Franzmeyer
Christian Schroeder de Witt
    OffRL
    OODD
ArXivPDFHTML

Papers citing "Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection"

4 / 4 papers shown
Title
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement
  Learning Agents
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
Ethan Rathbun
Christopher Amato
Alina Oprea
OffRL
AAML
46
4
0
30 May 2024
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
188
879
0
21 Oct 2021
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and
  Results
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results
Mohamad H. Danesh
Alan Fern
94
14
0
11 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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