Changes

Jump to: navigation, search

Joel Veness

46 bytes removed, 08:41, 4 June 2018
no edit summary
'''Joel Veness''',<br/>
an Australian games programmer, mathematician and computer scientist with a Ph.D. from [https://en.wikipedia.org/wiki/University_of_New_South_Wales University of New South Wales] (UNSW). He spent two years at the [[University of Alberta]] as a postdoc under [[Mathematician#MBowling|Michael Bowling]], and now works in the UK as research scientist at [[Google]] [[DeepMind]] <ref>[http://jveness.info/about_me/default.html Joel Veness - About]</ref>.
Joel is author of the chess engine [[Bodo]] <ref>[https://www.stmintz.com/ccc/index.php?id=437038 BODO new OZ champion] by [[Ross Boyd]], [[CCC]], July 17, 2005</ref>, written in [[C]] and later [[Cpp|C++]] <ref>[http://users.cecs.anu.edu.au/%7Eshaun/chess/NC32006_-_List_of_Entries.html 2006 National Computer Chess Championships - List of Entries]</ref>. Joel Veness’ chess program [[Meep]] based on Bodo is one of the first master-level programs with an evaluation function that was learned entirely from self-play, by [[Meep#BootStrap|bootstrapping]] from deep searches <ref>[[Joel Veness]], [[David Silver]], [[William Uther]], [[Alan Blair]] ('''2009'''). ''[http://papers.nips.cc/paper/3722-bootstrapping-from-game-tree-search Bootstrapping from Game Tree Search]''. [http://jveness.info/publications/nips2009%20-%20bootstrapping%20from%20game%20tree%20search.pdf pdf], [http://videolectures.net/nips09_veness_bfg/ video presentation]</ref> .
* [[Joel Veness]], [[Kee Siong Ng]], [[Marcus Hutter]], [[David Silver]] ('''2010'''). ''Reinforcement Learning via AIXI Approximation''. Association for the Advancement of Artificial Intelligence (AAAI), [http://jveness.info/publications/veness_rl_via_aixi_approx.pdf pdf]
* [[Joel Veness]] ('''2011'''). ''Approximate Universal Artificial Intelligence and Self-Play Learning for Games''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_New_South_Wales University of New South Wales], supervisors: [[Kee Siong Ng]], [[Marcus Hutter]], [[Alan Blair]], [[William Uther]], [[John Lloyd]]; [http://jveness.info/publications/veness_phd_thesis_final.pdf pdf]
* [[Joel Veness]], [[Marc Lanctot]], [[Mathematician#MBowling|Michael Bowling]] ('''2011'''). ''Variance Reduction in Monte-Carlo Tree Search''. [http://papers.nips.cc/book/advances-in-neural-information-processing-systems-24-2011 NIPS], [http://papers.nips.cc/paper/4288-variance-reduction-in-monte-carlo-tree-search.pdf pdf]
* [[Marc Lanctot]], [[Abdallah Saffidine]], [[Joel Veness]], [[Christopher Archibald]] ('''2012'''). ''Sparse Sampling for Adversarial Games''. [[ECAI CGW 2012]]
* [[Marc Lanctot]], [[Abdallah Saffidine]], [[Joel Veness]], [[Christopher Archibald]], [[Mark Winands]] ('''2013'''). ''Monte Carlo *-Minimax Search''. [[Conferences#IJCAI|IJCAI 2013]]

Navigation menu