| 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 | 10431 | 2015 |
| The arcade learning environment: An evaluation platform for general agents MG Bellemare, Y Naddaf, J Veness, M Bowling Journal of Artificial Intelligence Research, 2013 | 1374 | 2013 |
| 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 | 1143 | 2017 |
| Monte-Carlo planning in large POMDPs D Silver, J Veness Advances in neural information processing systems, 2164-2172, 2010 | 773 | 2010 |
| 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 | 180 | 2018 |
| 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 | 169 | 2011 |
| Bootstrapping from Game Tree Search J Veness, D Silver, A Blair, W Uther Advances in neural information processing systems, 1937-1945, 2009 | 74 | 2009 |
| Investigating contingency awareness using Atari 2600 games MG Bellemare, J Veness, M Bowling Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 68 | 2012 |
| An approximation of the universal intelligence measure S Legg, J Veness Ray Solomonoff Memorial Conference 2011, 2011 | 55 | 2011 |
| & 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 | 44 | |
| Context tree switching J Veness, KS Ng, M Hutter, M Bowling 2012 Data Compression Conference, 327-336, 2012 | 41 | 2012 |
| Skip context tree switching M Bellemare, J Veness, E Talvitie International Conference on Machine Learning, 1458-1466, 2014 | 33 | 2014 |
| Reinforcement learning via AIXI approximation J Veness, KS Ng, M Hutter, D Silver AAAI 2010, 2010 | 30 | 2010 |
| The forget-me-not process K Milan, J Veness, J Kirkpatrick, M Bowling, A Koop, D Hassabis Advances in Neural Information Processing Systems, 3702-3710, 2016 | 29* | 2016 |
| Bayesian Learning of Recursively Factored Environments M Bellemare, J Veness, M Bowling ICML 2013, 2013 | 27 | 2013 |
| Sketch-based linear value function approximation M Bellemare, J Veness, M Bowling Advances in Neural Information Processing Systems, 2213-2221, 2012 | 25 | 2012 |
| Compress and Control J Veness, MG Bellemare, M Hutter, A Chua, G Desjardins Association for the Advancement of Artificial Intelligence (AAAI), 2015 | 19 | 2015 |
| Variance reduction in Monte-Carlo tree search J Veness, M Lanctot, M Bowling Advances in Neural Information Processing Systems, 1836-1844, 2011 | 18 | 2011 |
| Partition Tree Weighting J Veness, M White, M Bowling, A György Data Compression Conference (DCC) 2013, 2013 | 17 | 2013 |
| Monte Carlo*-Minimax Search M Lanctot, A Saffidine, J Veness, C Archibald, MHM Winands IJCAI 2013, 2013 | 16 | 2013 |
Marc G. BellemareGoogle BrainAdresse e-mail validée de google.com
