Generalizing from a few environments in safety-critical reinforcement learning

2 July 2019

Papers citing "Generalizing from a few environments in safety-critical reinforcement learning"

9 / 9 papers shown

Title
Runtime Verification of Learning Properties for Reinforcement Learning Algorithms T. Mannucci Julio de Oliveira Filho OffRL 8 0 0 16 Nov 2023
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 30 12 0 05 Jun 2022
Detecting danger in gridworlds using Gromov's Link Condition Thomas F Burns R. Tang AI4CE 31 2 0 17 Jan 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 44 7 0 08 Dec 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 31 169 0 20 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 505 11,727 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015