| Modelling the N400 brain potential as change in a probabilistic representation of meaning M Rabovsky, SS Hansen, JL McClelland Nature Human Behaviour 2 (9), 693-705, 2018 | 189 | 2018 |
| Unsupervised control through non-parametric discriminative rewards D Warde-Farley, T Van de Wiele, T Kulkarni, C Ionescu, S Hansen, ... arXiv preprint arXiv:1811.11359, 2018 | 143 | 2018 |
| Fast task inference with variational intrinsic successor features S Hansen, W Dabney, A Barreto, T Van de Wiele, D Warde-Farley, V Mnih arXiv preprint arXiv:1906.05030, 2019 | 112 | 2019 |
| Generalization of reinforcement learners with working and episodic memory M Fortunato, M Tan, R Faulkner, S Hansen, A Puigdomčnech Badia, ... Advances in neural information processing systems 32, 2019 | 48 | 2019 |
| Fast deep reinforcement learning using online adjustments from the past S Hansen, A Pritzel, P Sprechmann, A Barreto, C Blundell Advances in Neural Information Processing Systems 31, 2018 | 40 | 2018 |
| Relative variational intrinsic control K Baumli, D Warde-Farley, S Hansen, V Mnih Proceedings of the AAAI conference on artificial intelligence 35 (8), 6732-6740, 2021 | 28 | 2021 |
| Modelling the N400 brain potential as change in a probabilistic representation of meaning. Nature Human Behaviour, 2 (9), 693–705 M Rabovsky, SS Hansen, JL McClelland | 14 | 2018 |
| In-context reinforcement learning with algorithm distillation M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, ... arXiv preprint arXiv:2210.14215, 2022 | 13 | 2022 |
| Learning more skills through optimistic exploration DJ Strouse, K Baumli, D Warde-Farley, V Mnih, S Hansen arXiv preprint arXiv:2107.14226, 2021 | 13 | 2021 |
| Beyond fine-tuning: Transferring behavior in reinforcement learning V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ... arXiv preprint arXiv:2102.13515, 2021 | 11 | 2021 |
| N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model. M Rabovsky, SS Hansen, JL McClelland CogSci, 2016 | 10 | 2016 |
| Building on prior knowledge without building it in SS Hansen, A Lampinen, G Suri, JL McClelland Behav. Brain Sci 40, e268, 2017 | 9 | 2017 |
| A parallel-distributed processing approach to mathematical cognition JL McClelland, K Mickey, S Hansen, A Yuan, Q Lu Manuscript, Stanford University, 2016 | 9 | 2016 |
| Coverage as a principle for discovering transferable behavior in reinforcement learning V Campos, P Sprechmann, SS Hansen, A Barreto, C Blundell, A Vitvitskyi, ... | 8 | 2021 |
| I like coffee with cream and dog? Change in an implicit probabilistic representation captures meaning processing in the brain M Rabovsky, SS Hansen, JL McClelland bioRxiv, 138149, 2017 | 5 | 2017 |
| Two plus three is five: discovering efficient addition strategies without metacognition SS Hansen, CRL McKenzie, JL McClelland Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 4 | 2014 |
| Expressing non-Markov reward to a Markov agent D Abel, A Barreto, M Bowling, W Dabney, S Hansen, A Harutyunyan, ... Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2022 | 3 | 2022 |
| Entropic desired dynamics for intrinsic control S Hansen, G Desjardins, K Baumli, D Warde-Farley, N Heess, S Osindero, ... Advances in Neural Information Processing Systems 34, 11436-11448, 2021 | 2 | 2021 |
| Deep episodic value iteration for model-based meta-reinforcement learning SS Hansen arXiv preprint arXiv:1705.03562, 2017 | 2 | 2017 |
| Uniqueness and complexity of inverse mdp models M Hutter, S Hansen arXiv preprint arXiv:2206.01192, 2022 | 1 | 2022 |
Volodymyr MnihDeepMindVerified email at cs.toronto.edu
