Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Molnö, Victor"'
Autor:
Molnö, Victor, Sandberg, Henrik
With the advent of integrated sensor technology (smart flow meters and pressure sensors), various new numerical algorithms for leak localization (a core element of water distribution system operation) have been developed. However, there is a lack of
Externí odkaz:
http://arxiv.org/abs/2403.10396
Autor:
Molnö, Victor
This thesis considers a deep learning approach to a dynamic portfolio optimization problem. A proposed deep learning algorithm is tested on a simplified version of the problem with promising results, which suggest continued testing of the algorithm,
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304667
Autor:
Finnson, Anton, Molnö, Victor
Algoritmer baserade på reinforcement learning har framgångsrikt tillämpats på många olika maskininlärningsproblem. I denna rapport presenterar vi hur vi implementerar varianter på deep Q-learning-algoritmer på det klassiska datorspelet Snake.
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255828
Autor:
Molnö, Victor
This thesis considers a deep learning approach to a dynamic portfolio optimization problem. A proposed deep learning algorithm is tested on a simplified version of the problem with promising results, which suggest continued testing of the algorithm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::677e8c87e2cf4d404423bb0fc0e8de05
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304667
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304667
Autor:
Finnson, Anton, Molnö, Victor
Algoritmer baserade på reinforcement learning har framgångsrikt tillämpats på många olika maskininlärningsproblem. I denna rapport presenterar vi hur vi implementerar varianter på deep Q-learning-algoritmer på det klassiska datorspelet Snake.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6eb93825bcdc18ed6567d3cbf0d736de
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255828
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255828