Preprints
- Online Learning with Gated Linear Networks
Joel Veness, Tor Lattimore, Avishkar
Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern,
Peter Toth
arXive, 2017
pdf
arXive
- Revisiting the Arcade Learning Environment: Evaluation
Protocols and Open Problems for General Agents
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie,
Joel Veness, Matthew J. Hausknecht, Michael Bowling
arXive, 2017
pdf
arXive
Journal Articles
- Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel
Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran
Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,
Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia
Hadsell
PNAS, 2017
pdf
official page
- Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu,
Joel Veness, Marc G. Bellemare, Alex Graves,
Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig
Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen
King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis
Hassabis
Nature, 2015
official page
- The Arcade Learning Environment:
An Evaluation Platform for General Agents
Marc Bellemare, Yavar Naddaf,
Joel Veness, Michael Bowling
Journal of Artificial Intelligence Research (JAIR), 2013
pdf
official
page
arXive
ALE homepage
bibtex
- 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
bibtex
Honorable Mention for 2014 IJCAI-JAIR Best Paper Prize
Conference Papers
- The Forget-me-not Process
Neural Information Processing Systems (NIPS), 2016
Joel Veness, Kieran Milan, James Kirkpatrick,
Anna Koop, Michael Bowling, Demis Hassabis
pdf
appendix
source code
bibtex
- Online Learning of k-CNF Boolean Functions
Joel Veness, Marcus Hutter, Laurent Orseau,
Marc Bellemare
International Joint Conference on Artificial
Intelligence (IJCAI), 2015
pdf
tech report
bibtex
- Compress and Control
Joel Veness, Marc Bellemare, Marcus
Hutter, Alvin Chua, Guillaume Desjardins
Association for the Advancement of Artificial Intelligence (AAAI),
2015
pdf
bibtex
- Skip Context Tree Switching
Marc Bellemare, Joel Veness, Erik Talvitie
International Conference on Machine Learning (ICML),
2014
pdf
bibtex
- Bayesian Learning of Recursively Factored Environments
Marc Bellemare, Joel Veness, Michael Bowling
International Conference on Machine Learning (ICML), 2013
pdf
bibtex
- Monte Carlo *-Minimax Search
Marc Lanctot, Abdallah Saffidine, Joel Veness,
Chris Archibald, Mark Winands
International Joint Conference on
Artificial Intelligence (IJCAI), 2013
pdf
arXive
bibtex
- Partition Tree Weighting
Joel Veness, Martha White, Michael Bowling,
András György
Data Compression Conference (DCC), 2013
pdf
arXive
bibtex
- Sketch-based Linear Value Function Approximation
Marc Bellemare, Joel Veness, Michael Bowling
Neural Information Processing Systems (NIPS), 2012
pdf
bibtex
- On Ensemble Techniques for AIXI Approximation
Joel Veness, Peter Sunehag, Marcus Hutter
Artificial General Intelligence (AGI),
2012
pdf
bibtex
- Investigating Contingency Awareness Using Atari 2600
Games
Marc Bellemare, Joel Veness, Michael Bowling
Association for the Advancement of Artificial Intelligence
(AAAI), 2012
pdf
bibtex
- Context Tree Switching
Joel Veness, Kee Siong Ng, Marcus Hutter,
Michael Bowling
Data Compression Conference (DCC), 2012
pdf
preprint
source and
binaries
bibtex
- 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
bibtex
- 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
bibtex
Technical Reports
- Sparse Sequential Dirichlet Coding
Joel Veness, Marcus Hutter
Tech Report, 2012
pdf
arXive (obsoleted by the
SAD estimator)
Theses
-
Approximate Universal Artificial Intelligence
PhD Thesis, UNSW, 2011,
pdf
-
Expectimax Enhancements
for Stochastic Game Players
Undergraduate Thesis,
UNSW, 2006, pdf
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