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* [[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]], [[Kee Siong Ng]], [[Marcus Hutter]], [[William Uther]] , [[David Silver]] ('''2011'''). ''A Monte-Carlo AIXI Approximation''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research JAIR], Vol. 40, [http://www.aaai.org/Papers/JAIR/Vol40/JAIR-4004.pdf pdf]
* [[Joel Veness]], [[Marc Lanctot]], [[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]]
