| 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 | 17995 | 2015 |
| Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 1372 | 2016 |
| Rainbow: Combining improvements in deep reinforcement learning M Hessel, J Modayil, H Van Hasselt, T Schaul, G Ostrovski, W Dabney, ... Thirty-second AAAI conference on artificial intelligence, 2018 | 1308 | 2018 |
| Unifying count-based exploration and intrinsic motivation M Bellemare, S Srinivasan, G Ostrovski, T Schaul, D Saxton, R Munos Advances in neural information processing systems 29, 1471-1479, 2016 | 948 | 2016 |
| Count-based exploration with neural density models G Ostrovski, MG Bellemare, A Oord, R Munos International conference on machine learning, 2721-2730, 2017 | 399 | 2017 |
| Recurrent experience replay in distributed reinforcement learning S Kapturowski, G Ostrovski, J Quan, R Munos, W Dabney International conference on learning representations, 2018 | 223 | 2018 |
| Implicit quantile networks for distributional reinforcement learning W Dabney, G Ostrovski, D Silver, R Munos International conference on machine learning, 1096-1105, 2018 | 221 | 2018 |
| Increasing the action gap: New operators for reinforcement learning MG Bellemare, G Ostrovski, A Guez, P Thomas, R Munos Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 119 | 2016 |
| Autoregressive quantile networks for generative modeling G Ostrovski, W Dabney, R Munos International Conference on Machine Learning, 3936-3945, 2018 | 56 | 2018 |
| Symmetric decomposition of asymmetric games K Tuyls, J Pérolat, M Lanctot, G Ostrovski, R Savani, JZ Leibo, T Ord, ... Scientific reports 8 (1), 1-20, 2018 | 28 | 2018 |
| Payoff performance of fictitious play G Ostrovski, S van Strien Journal of Dynamics and Games 1 (4), 621-638, 2014 | 12 | 2014 |
| Payoff performance of fictitious play G Ostrovski, S van Strien arXiv preprint arXiv:1308.4049, 2013 | 12 | 2013 |
| Piecewise linear Hamiltonian flows associated to zero-sum games: transition combinatorics and questions on ergodicity G Ostrovski, S van Strien Regular and Chaotic Dynamics 16 (1), 128-153, 2011 | 12 | 2011 |
| Temporally-Extended {\epsilon}-Greedy Exploration W Dabney, G Ostrovski, A Barreto arXiv preprint arXiv:2006.01782, 2020 | 11 | 2020 |
| Adapting behaviour for learning progress T Schaul, D Borsa, D Ding, D Szepesvari, G Ostrovski, W Dabney, ... arXiv preprint arXiv:1912.06910, 2019 | 9 | 2019 |
| On The Effect of Auxiliary Tasks on Representation Dynamics C Lyle, M Rowland, G Ostrovski, W Dabney International Conference on Artificial Intelligence and Statistics, 1-9, 2021 | 5 | 2021 |
| Return-based Scaling: Yet Another Normalisation Trick for Deep RL T Schaul, G Ostrovski, I Kemaev, D Borsa arXiv preprint arXiv:2105.05347, 2021 | 2 | 2021 |
| Fixed point theorem for non-self maps of regions in the plane G Ostrovski Topology and its Applications 160 (7), 915-923, 2013 | 2 | 2013 |
| Topics arising from fictitious play dynamics G Ostrovski University of Warwick, 2013 | 2 | 2013 |
| Autoregressive quantile networks for generative modeling (2018) G Ostrovski, W Dabney, R Munos arXiv preprint arXiv:1806.05575, 1806 | 2 | 1806 |
