| Compressive transformers for long-range sequence modelling JW Rae, A Potapenko, SM Jayakumar, TP Lillicrap arXiv preprint arXiv:1911.05507, 2019 | 54 | 2019 |
| Memory-based parameter adaptation P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ... ICLR 2018, 2018 | 51 | 2018 |
| Adapting auxiliary losses using gradient similarity Y Du, WM Czarnecki, SM Jayakumar, M Farajtabar, R Pascanu, ... arXiv preprint arXiv:1812.02224, 2018 | 42 | 2018 |
| Been there, done that: Meta-learning with episodic recall S Ritter, JX Wang, Z Kurth-Nelson, SM Jayakumar, C Blundell, R Pascanu, ... ICML 2018, 2018 | 38 | 2018 |
| Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019 | 29 | 2019 |
| Mix&match-agent curricula for reinforcement learning WM Czarnecki, SM Jayakumar, M Jaderberg, L Hasenclever, YW Teh, ... ICML 2018, 2018 | 29 | 2018 |
| Stabilizing transformers for reinforcement learning E Parisotto, F Song, J Rae, R Pascanu, C Gulcehre, S Jayakumar, ... International Conference on Machine Learning, 7487-7498, 2020 | 28 | 2020 |
| Distilling Policy Distillation WM Czarnecki, R Pascanu, S Osindero, SM Jayakumar, G Swirszcz, ... AISTATS 2019, 2019 | 28 | 2019 |
| Information asymmetry in KL-regularized RL A Galashov, SM Jayakumar, L Hasenclever, D Tirumala, J Schwarz, ... ICLR 2019, 2019 | 27 | 2019 |
| Multiplicative interactions and where to find them SM Jayakumar, WM Czarnecki, J Menick, J Schwarz, J Rae, S Osindero, ... International Conference on Learning Representations, 2020 | 21 | 2020 |
| Top-KAST: Top-K Always Sparse Training S Jayakumar, R Pascanu, J Rae, S Osindero, E Elsen Advances in Neural Information Processing Systems 33, 2020 | 6 | 2020 |
| Low-pass recurrent neural networks-A memory architecture for longer-term correlation discovery T Stepleton, R Pascanu, W Dabney, SM Jayakumar, H Soyer, R Munos arXiv preprint arXiv:1805.04955, 2018 | 3 | 2018 |
| Perception-Prediction-Reaction Agents for Deep Reinforcement Learning A Stooke, V Dalibard, SM Jayakumar, WM Czarnecki, M Jaderberg Workshop on “Structure & Priors in Reinforcement Learning” at ICLR 2019, 2019 | 1 | 2019 |
| Machine learning systems with memory based parameter adaptation for learning fast and slower P Sprechmann, S Jayakumar, JW Rae, A Pritzel, AP Badia, O Vinyals, ... US Patent App. 16/759,561, 2020 | | 2020 |
| Reinforcement learning using agent curricula W Czarnecki, S Jayakumar US Patent App. 16/417,522, 2019 | | 2019 |
| Information asymmetry in KL-regularized RL WM Czarnecki, L Hasenclever, YW Teh, G Desjardins, A Galashov, ... International Conference on Learning Representations, 2018 | | 2018 |
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
