Joel Veness

Journal Articles

• A Monte-Carlo AIXI Approximation
  Joel Veness, Kee Siong Ng, Marcus Hutter, William Uther, David Silver
  Journal of Artificial Intelligence Research (JAIR), 2011
  pdf official page pacman video youtube video source

Conference Papers

• Context Tree Switching
  Joel Veness, Kee Siong Ng, Marcus Hutter, Michael Bowling
  (to appear) Data Compression Conference (DCC), 2012.
  preprint source and binaries
  
  
• Variance Reduction in Monte-Carlo Tree Search
  Joel Veness, Marc Lanctot, Michael Bowling
  Neural Information Processing Systems (NIPS), 2011
  pdf bibtex
  
  
• An Approximation of the Universal Intelligence Measure
  Shane Legg, Joel Veness
  Ray Solomonoff 85th Memorial Conference, 2011
  pdf code arXive
  
  
• Monte-Carlo Planning in Large POMDPs
  David Silver, Joel Veness
  Neural Information Processing Systems (NIPS), 2010
  pdf video and code bibtex
  
  
• Reinforcement Learning via AIXI Approximation
  Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver
  Association for the Advancement of Artificial Intelligence (AAAI), 2010
  pdf bibtex
  
  
• Bootstrapping from Game Tree Search
  Joel Veness, David Silver, Will Uther, Alan Blair
  Neural Information Processing Systems (NIPS), 2009
  pdf video presentation bibtex
  
  
• Effective Use of Transposition Tables in Stochastic Game Tree Search
  Joel Veness, Alan Blair
  IEEE Symposium on Computational Intelligence and Games (CIG), 2007
  pdf IEEE page

Theses

• Approximate Universal Artificial Intelligence
  PhD Thesis, UNSW, 2011, pdf
• Expectimax Enhancements for Stochastic Game Players
  Undergraduate Thesis, UNSW, 2006, pdf