Mean−variance policy iteration for risk−averse reinforcement learning

Bibliographic Details
Main Authors: Zhang, S, Liu, B, Whiteson, S
Format: Conference item
Language:English
Published: Association for the Advancement of Artificial Intelligence 2021
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author Zhang, S
Liu, B
Whiteson, S
author_facet Zhang, S
Liu, B
Whiteson, S
author_sort Zhang, S
collection OXFORD
description
first_indexed 2024-03-07T00:58:17Z
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institution University of Oxford
language English
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spelling oxford-uuid:88d770cc-064d-46e3-9255-2e9349ad0ffa2022-03-26T22:20:21ZMean−variance policy iteration for risk−averse reinforcement learningConference itemhttp://purl.org/coar/resource_type/c_5794uuid:88d770cc-064d-46e3-9255-2e9349ad0ffaEnglishSymplectic ElementsAssociation for the Advancement of Artificial Intelligence2021Zhang, SLiu, BWhiteson, S
spellingShingle Zhang, S
Liu, B
Whiteson, S
Mean−variance policy iteration for risk−averse reinforcement learning
title Mean−variance policy iteration for risk−averse reinforcement learning
title_full Mean−variance policy iteration for risk−averse reinforcement learning
title_fullStr Mean−variance policy iteration for risk−averse reinforcement learning
title_full_unstemmed Mean−variance policy iteration for risk−averse reinforcement learning
title_short Mean−variance policy iteration for risk−averse reinforcement learning
title_sort mean variance policy iteration for risk averse reinforcement learning
work_keys_str_mv AT zhangs meanvariancepolicyiterationforriskaversereinforcementlearning
AT liub meanvariancepolicyiterationforriskaversereinforcementlearning
AT whitesons meanvariancepolicyiterationforriskaversereinforcementlearning