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SeRO: Self-Supervised Reinforcement Learning for Recovery from
  Out-of-Distribution Situations

SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations

7 November 2023
Chan Kim
JaeKyung Cho
C. Bobda
Seung-Woo Seo
Seong-Woo Kim
ArXivPDFHTML

Papers citing "SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations"

4 / 4 papers shown
Title
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
Chan Kim
Seung-Woo Seo
Seong-Woo Kim
OODD
187
0
0
21 Mar 2025
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
143
928
0
07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1