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Data-driven Rollout...
Data-driven Rollout for Deterministic Optimal Control
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- Li, Yuchao (author)
- KTH,Reglerteknik
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- Johansson, Karl H., 1967- (author)
- KTH,Reglerteknik
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- Mårtensson, Jonas, 1976- (author)
- KTH,Reglerteknik
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- Bertsekas, Dimitri P. (author)
- ASU, Computat Decis Making, Tempe, AZ USA.;MIT, Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2021
- 2021
- English.
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In: 2021 60th IEEE conference on decision and control (CDC). - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 2169-2176
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- We consider deterministic infinite horizon optimal control problems with nonnegative stage costs. We draw inspiration from learning model predictive control scheme designed for continuous dynamics and iterative tasks, and propose a rollout algorithm that relies on sampled data generated by some base policy. The proposed algorithm is based on value and policy iteration ideas, and applies to deterministic problems with arbitrary state and control spaces, and arbitrary dynamics. It admits extensions to problems with trajectory constraints, and a multiagent structure.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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