What is Acceptably Safe for Reinforcement Learning?

Bragg, John Edward and Habli, Ibrahim orcid.org/0000-0003-2736-8238 (2018) What is Acceptably Safe for Reinforcement Learning? In: First International Workshop on Artificial Intelligence Safety Engineering, 18 Sep 2018.

Metadata

Item Type: Conference or Workshop Item
Authors/Creators:
Keywords: SAFETY,Reinforcement Learning,Machine Learning,AUTONOMY
Dates:
  • Published: September 2018
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Date Deposited: 20 Jul 2018 07:40
Last Modified: 28 Oct 2025 00:17
Status: Published
Refereed: Yes
Open Archives Initiative ID (OAI ID):

Download

RL paper_5

Filename: RL_paper_5.pdf

Description: RL paper_5

CLICK TO DOWNLOAD [thumbnail of RL paper_5]

Export

Statistics


CORE (COnnecting REpositories)