Blind Spot Detection for Safe Sim-to-Real Transfer
Blind Spot Detection for Safe Sim-to-Real Transfer
About this item
Full title
Author / Creator
Publisher
San Francisco: AI Access Foundation
Journal title
Language
English
Formats
Publication information
Publisher
San Francisco: AI Access Foundation
Subjects
More information
Scope and Contents
Contents
Agents trained in simulation may make errors when performing actions in the real world due to mismatches between training and execution environments. These mistakes can be dangerous and difficult for the agent to discover because the agent is unable to predict them a priori. In this work, we propose the use of oracle feedback to learn a predictive...
Alternative Titles
Full title
Blind Spot Detection for Safe Sim-to-Real Transfer
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2553984088
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2553984088
Other Identifiers
ISSN
1076-9757
E-ISSN
1076-9757,1943-5037
DOI
10.1613/jair.1.11436
