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Joel Veness
Joel Veness
Google DeepMind
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Title
Cited by
Cited by
Year
Human-level control through deep reinforcement learning
V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ...
nature 518 (7540), 529-533, 2015
210232015
Overcoming catastrophic forgetting in neural networks
J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ...
Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017
35732017
The arcade learning environment: An evaluation platform for general agents
MG Bellemare, Y Naddaf, J Veness, M Bowling
Journal of Artificial Intelligence Research, 2013
26132013
Monte-Carlo planning in large POMDPs
D Silver, J Veness
Advances in neural information processing systems 23, 2010
11232010
Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents
MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ...
Journal of Artificial Intelligence Research 61, 523-562, 2018
4222018
A Monte-Carlo AIXI Approximation
J Veness, KS Ng, M Hutter, W Uther, D Silver
Journal of Artificial Intelligence Research 40 (1), 95-142, 2011
1962011
Investigating contingency awareness using Atari 2600 games
MG Bellemare, J Veness, M Bowling
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
872012
Bootstrapping from Game Tree Search
J Veness, D Silver, A Blair, W Uther
Advances in neural information processing systems, 1937-1945, 2009
852009
& Petersen, S.(2015). Human-level control through deep reinforcement learning
V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare
Nature 518 (7540), 529, 0
74
An approximation of the universal intelligence measure
S Legg, J Veness
Ray Solomonoff Memorial Conference 2011, 2011
682011
Context tree switching
J Veness, KS Ng, M Hutter, M Bowling
2012 data compression conference, 327-336, 2012
492012
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
482019
Skip context tree switching
M Bellemare, J Veness, E Talvitie
International conference on machine learning, 1458-1466, 2014
432014
Bayesian Learning of Recursively Factored Environments
M Bellemare, J Veness, M Bowling
ICML 2013, 2013
382013
Reinforcement learning via AIXI approximation
J Veness, KS Ng, M Hutter, D Silver
AAAI 2010, 2010
332010
Sketch-based linear value function approximation
M Bellemare, J Veness, M Bowling
Advances in Neural Information Processing Systems 25, 2012
282012
The forget-me-not process
K Milan, J Veness, J Kirkpatrick, M Bowling, A Koop, D Hassabis
Advances in Neural Information Processing Systems 29, 2016
252016
Monte Carlo*-Minimax Search
M Lanctot, A Saffidine, J Veness, C Archibald, MHM Winands
IJCAI 2013, 2013
222013
Gated linear networks
J Veness, T Lattimore, D Budden, A Bhoopchand, C Mattern, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10015 …, 2021
212021
Online learning with gated linear networks
J Veness, T Lattimore, A Bhoopchand, A Grabska-Barwinska, C Mattern, ...
arXiv preprint arXiv:1712.01897, 2017
212017
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