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pro vyhledávání: '"Pacifico, Agnese"'
Autor:
Alla, Alessandro, Pacifico, Agnese
We address the control of Partial Differential equations (PDEs) with unknown parameters. Our objective is to devise an efficient algorithm capable of both identifying and controlling the unknown system. We assume that the desired PDE is observable pr
Externí odkaz:
http://arxiv.org/abs/2402.08186
We focus on the control of unknown Partial Differential Equations (PDEs). The system dynamics is unknown, but we assume we are able to observe its evolution for a given control input, as typical in a Reinforcement Learning framework. We propose an al
Externí odkaz:
http://arxiv.org/abs/2308.04068
We consider an LQR optimal control problem with partially unknown dynamics. We propose a new model-based online algorithm to obtain an approximation of the dynamics $and$ the control at the same time during a single simulation.
Comment: 8 pages,
Comment: 8 pages,
Externí odkaz:
http://arxiv.org/abs/2105.13723
Akademický článek
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Autor:
Salvo, Ivano, Pacifico, Agnese
The Euler's Sieve refines the Sieve of Eratosthenes to compute prime numbers, by crossing off each non prime number just once. Euler's Sieve is considered hard to be faithfully and efficiently coded as a purely functional stream based program. We pro
Externí odkaz:
http://arxiv.org/abs/1811.09840
Autor:
Salvo, Ivano, Pacifico, Agnese
As a report of a teaching experience, we analyse Haskell programs computing two integer sequences: the Hamming sequence and the Ulam sequence. For both of them, we investigate two strategies of computation: the first is based on filtering out those n
Externí odkaz:
http://arxiv.org/abs/1807.11792