| 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 | 24374 | 2015 |
| 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 | 4710 | 2017 |
| The arcade learning environment: An evaluation platform for general agents MG Bellemare, Y Naddaf, J Veness, M Bowling Journal of Artificial Intelligence Research, 2013 | 2964 | 2013 |
| Monte-Carlo planning in large POMDPs D Silver, J Veness Advances in neural information processing systems 23, 2010 | 1239 | 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 | 500 | 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 | 208 | 2011 |
| Investigating contingency awareness using Atari 2600 games M Bellemare, J Veness, M Bowling Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 864-871, 2012 | 98 | 2012 |
| Bootstrapping from Game Tree Search J Veness, D Silver, A Blair, W Uther Advances in neural information processing systems, 1937-1945, 2009 | 91 | 2009 |
| & 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 | 78 | |
| An approximation of the universal intelligence measure S Legg, J Veness Ray Solomonoff Memorial Conference 2011, 2011 | 73 | 2011 |
| Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019 | 62 | 2019 |
| & Hassabis, D.(2015) V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare Human-level control through deep reinforcement learning. nature 518 (7540 …, 0 | 54 | |
| Context tree switching J Veness, KS Ng, M Hutter, M Bowling 2012 data compression conference, 327-336, 2012 | 52 | 2012 |
| Skip context tree switching M Bellemare, J Veness, E Talvitie International conference on machine learning, 1458-1466, 2014 | 49 | 2014 |
| Bayesian Learning of Recursively Factored Environments M Bellemare, J Veness, M Bowling ICML 2013, 2013 | 41 | 2013 |
| Reinforcement learning via AIXI approximation J Veness, KS Ng, M Hutter, D Silver AAAI 2010, 2010 | 32 | 2010 |
| 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 | 31 | 2021 |
| others (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 | 31 | |
| Sketch-based linear value function approximation M Bellemare, J Veness, M Bowling Advances in Neural Information Processing Systems 25, 2012 | 29 | 2012 |
| 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 | 26 | 2016 |
Marc G. BellemareGoogle BrainVerified email at google.com
