Publication:

No more hand-tuning rewards: Masked constrained policy optimization for safe reinforcement learning

Date

2021
Proceedings Paper
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cris.virtual.orcid0000-0002-5060-6807
cris.virtual.orcid0000-0002-9569-9373
cris.virtual.orcid0000-0002-5590-9321
cris.virtualsource.department5d223989-593d-44ba-a463-4e9e3d8daf8d
cris.virtualsource.department1a726932-beb2-4302-94c5-a7ab5d05ce6c
cris.virtualsource.departmenta1859f56-9842-4760-89ef-c58ef92819a1
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cris.virtualsource.orcida1859f56-9842-4760-89ef-c58ef92819a1
dc.contributor.authorVan Havermaet, Stef
dc.contributor.authorKhaluf, Yara
dc.contributor.authorSimoens, Pieter
dc.contributor.imecauthorVan Havermaet, Stef
dc.contributor.imecauthorKhaluf, Yara
dc.contributor.imecauthorSimoens, Pieter
dc.contributor.orcidimecSimoens, Pieter::0000-0002-9569-9373
dc.date.accessioned2021-10-31T12:02:30Z
dc.date.available2021-10-31T12:02:30Z
dc.date.embargo9999-12-31
dc.date.issued2021
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37290
dc.identifier.urlhttp://www.ifaamas.org/Proceedings/aamas2021/pdfs/p1344.pdf
dc.source.beginpage1344
dc.source.conferenceAAMAS2021, the 20th International Conference on Autonomous Agents and Multiagent Systems
dc.source.conferencedate3/05/2021
dc.source.conferencelocationOnline Online
dc.source.endpage1352
dc.title

No more hand-tuning rewards: Masked constrained policy optimization for safe reinforcement learning

dc.typeProceedings paper
dspace.entity.typePublication
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