{"id":137,"date":"2017-02-02T13:49:22","date_gmt":"2017-02-02T13:49:22","guid":{"rendered":"http:\/\/staff.fnwi.uva.nl\/h.c.vanhoof\/wordpress\/?page_id=10"},"modified":"2025-01-29T15:42:41","modified_gmt":"2025-01-29T15:42:41","slug":"home","status":"publish","type":"page","link":"https:\/\/staff.fnwi.uva.nl\/h.c.vanhoof\/homepage\/","title":{"rendered":"Overview"},"content":{"rendered":"
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Bio<\/h5>\n

Herke van Hoof is currently associate professor at the University of Amsterdam in the Netherlands, where he is part of the Amlab. He is interested in modular reinforcement learning. Reinforcement learning is a very general framework, but this tends to result in extremely data-hungry algorithms. Exploiting modular structures, including hierarchical structures, allows sharing information between tasks and exploiting prior knowledge, to learn more with less data.\u00a0<\/span><\/p>\n

Before joining the University of Amsterdam, Herke van Hoof was a postdoc at McGill University in Montreal, Canada, where he worked with Professors Joelle Pineau, Dave Meger, and Gregory Dudek. He obtained his PhD at TU Darmstadt, Germany, under the supervision of Professor Jan Peters, where he graduated in November 2016. Herke got his bachelor and master degrees in Artificial Intelligence at the University of Groningen in the Netherlands.<\/span><\/p>\n

Recent news<\/h5>\n