Zobrazeno 1 - 2
of 2
pro vyhledávání: '"generalisation (artificial intelligence) learning (artificial intelligence)"'
Autor:
Enric Celaya, Alejandro Agostini
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Recercat. Dipósit de la Recerca de Catalunya
IJCNN
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
Recercat. Dipósit de la Recerca de Catalunya
IJCNN
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Trabajo presentado a la IJCNN 2010 celebrada en Barcelona del 18 al 23 de julio.
Recent approaches to Reinforcement Learning (RL) with function approximation include Neural Fitted Q Iteration and the use of Gaussian Processes. They belong to the
Recent approaches to Reinforcement Learning (RL) with function approximation include Neural Fitted Q Iteration and the use of Gaussian Processes. They belong to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cdb51a9e973a4f3ebb3ab284ea320ad
http://hdl.handle.net/10261/39171
http://hdl.handle.net/10261/39171
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
In this work we propose an approach for generalization in continuous domain Reinforcement Learning that, instead of using a single function approximator, tries many different function approximators in parallel, each one defined in a different region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1d64da0948781b37bb134d1c38cf7b26
http://hdl.handle.net/2117/14123
http://hdl.handle.net/2117/14123