Conference item
Trial without error: Towards safe reinforcement learning via human intervention
- Alternative title:
- Extended abstract
- Abstract:
-
During training, model-free reinforcement learning (RL) systems can explore actions that lead to harmful or costly consequences. Having a human “in the loop” and ready to intervene at all times can prevent these mistakes, but is prohibitively expensive for current algorithms. We explore how human oversight can be combined with a supervised learning system to prevent catastrophic events during training. We demonstrate this scheme on Atari games, with a Deep RL agent being overseen by a human f...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Version of record, pdf, 5.9MB)
-
(Version of record, pdf, 1.7MB)
-
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Bibliographic Details
- Publisher:
- ACM Digital Library Publisher's website
- Journal:
- 17th International Conference on Autonomous Agents and MultiAgent Systems Journal website
- Host title:
- Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
- Publication date:
- 2018-07-15
- Acceptance date:
- 2018-04-15
- ISSN:
-
2523-5699
- Source identifiers:
-
966914
Item Description
- Pubs id:
-
pubs:966914
- UUID:
-
uuid:ba0fc61e-1a94-4738-929b-cdfd92fdf49e
- Local pid:
- pubs:966914
- Deposit date:
- 2019-01-30
Terms of use
- Copyright holder:
- International Foundation for Autonomous Agents and Multiagent Systems
- Copyright date:
- 2018
- Notes:
-
© 2018 International Foundation for Autonomous Agents and
Multiagent Systems. The published version is in the form of an extended abstract; the full text of the article has also made available by the author
If you are the owner of this record, you can report an update to it here: Report update to this record