Optimal adaptive control with separable drift uncertainty
We consider a problem of stochastic optimal control with separable drift uncertainty in strong formulation on a finite time horizon. The drift of the state Y u is multiplicatively influenced by an unknown random variable λ, while admissible controls u are required to be adapted to the observation fi...
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Format: | Journal article |
Language: | English |
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Society for Industrial and Applied Mathematics
2025
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author | Cohen, SN Knochenhauer, C Merkel, A |
author_facet | Cohen, SN Knochenhauer, C Merkel, A |
author_sort | Cohen, SN |
collection | OXFORD |
description | We consider a problem of stochastic optimal control with separable drift uncertainty in strong formulation on a finite time horizon. The drift of the state Y u is multiplicatively influenced by an unknown random variable λ, while admissible controls u are required to be adapted to the observation filtration. Choosing a control actively influences the state and information acquisition simultaneously and comes with a learning effect. The problem, initially non-Markovian, is embedded into a higher-dimensional Markovian, full information control problem with control-dependent filtration and noise. To that problem, we apply the stochastic Perron method to characterize the value function as the unique viscosity solution of the HJB equation, explicitly construct ε-optimal controls, and show that the values in the strong and weak formulation agree. Numerical illustrations show a significant difference between the adaptive control and the certainty equivalence control, highlighting a substantial learning effect. |
first_indexed | 2025-02-19T04:32:08Z |
format | Journal article |
id | oxford-uuid:ca85ed6f-2a3e-4e9b-89df-d77d135c15c7 |
institution | University of Oxford |
language | English |
last_indexed | 2025-02-19T04:32:08Z |
publishDate | 2025 |
publisher | Society for Industrial and Applied Mathematics |
record_format | dspace |
spelling | oxford-uuid:ca85ed6f-2a3e-4e9b-89df-d77d135c15c72025-01-09T11:28:37ZOptimal adaptive control with separable drift uncertaintyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ca85ed6f-2a3e-4e9b-89df-d77d135c15c7EnglishSymplectic ElementsSociety for Industrial and Applied Mathematics2025Cohen, SNKnochenhauer, CMerkel, AWe consider a problem of stochastic optimal control with separable drift uncertainty in strong formulation on a finite time horizon. The drift of the state Y u is multiplicatively influenced by an unknown random variable λ, while admissible controls u are required to be adapted to the observation filtration. Choosing a control actively influences the state and information acquisition simultaneously and comes with a learning effect. The problem, initially non-Markovian, is embedded into a higher-dimensional Markovian, full information control problem with control-dependent filtration and noise. To that problem, we apply the stochastic Perron method to characterize the value function as the unique viscosity solution of the HJB equation, explicitly construct ε-optimal controls, and show that the values in the strong and weak formulation agree. Numerical illustrations show a significant difference between the adaptive control and the certainty equivalence control, highlighting a substantial learning effect. |
spellingShingle | Cohen, SN Knochenhauer, C Merkel, A Optimal adaptive control with separable drift uncertainty |
title | Optimal adaptive control with separable drift uncertainty |
title_full | Optimal adaptive control with separable drift uncertainty |
title_fullStr | Optimal adaptive control with separable drift uncertainty |
title_full_unstemmed | Optimal adaptive control with separable drift uncertainty |
title_short | Optimal adaptive control with separable drift uncertainty |
title_sort | optimal adaptive control with separable drift uncertainty |
work_keys_str_mv | AT cohensn optimaladaptivecontrolwithseparabledriftuncertainty AT knochenhauerc optimaladaptivecontrolwithseparabledriftuncertainty AT merkela optimaladaptivecontrolwithseparabledriftuncertainty |