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'''Levente Kocsis''',<br/>
a Hungarian computer scientiest scientist and researcher in Machine [[Learning]] with interests in [[Reinforcement Learning]], [[Games]] like [[Chess]], [[Go]], [[Poker]] and [[Lines of Action]], [[Search]] Control, [[Neural Networks]] and optimization algorithms for combinatorial problems. He defended his Ph.D thesis ''Learning Search Decisions'' <ref>[[Levente Kocsis]] ('''2003'''). ''Learning Search Decisions''. Ph.D thesis, [[Maastricht University]], [https://project.dke.maastrichtuniversity.nl/games/files/phd/Kocsis_thesis.pdf pdf]</ref> in 2003 at [[Maastricht University]].
Levente Kocsis is member of the ''Machine Learning Research Group'' of the [https://en.wikipedia.org/wiki/Hungarian_Academy_of_Sciences Hungarian Academy of Sciences].
=Selected Publications=
<ref>[http://ilk.uvt.nl/icga/journal/docs/References.pdf [ICGA Journal#RefDB|ICGA Reference Database](pdf)]</ref>
==2000 ...==
* [[Levente Kocsis]], [[Jos Uiterwijk]], [[Jaap van den Herik]] ('''2000'''). ''[http://link.springer.com/chapter/10.1007%2F3-540-45579-5_11 Learning Time Allocation using Neural Networks]''. [[CG 2000]]
