| Retrieval-augmented generation for knowledge-intensive nlp tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... Advances in neural information processing systems 33, 9459-9474, 2020 | 6475 | 2020 |
| Starcraft ii: A new challenge for reinforcement learning O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ... arXiv preprint arXiv:1708.04782, 2017 | 1213 | 2017 |
| Deepmind lab C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H Küttler, ... arXiv preprint arXiv:1612.03801, 2016 | 677 | 2016 |
| Paq: 65 million probably-asked questions and what you can do with them P Lewis, Y Wu, L Liu, P Minervini, H Küttler, A Piktus, P Stenetorp, ... Transactions of the Association for Computational Linguistics 9, 1098-1115, 2021 | 219 | 2021 |
| The nethack learning environment H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ... Advances in Neural Information Processing Systems 33, 7671-7684, 2020 | 210 | 2020 |
| Kickstarting deep reinforcement learning S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ... arXiv preprint arXiv:1803.03835, 2018 | 171 | 2018 |
| Learning with amigo: Adversarially motivated intrinsic goals A Campero, R Raileanu, H Küttler, JB Tenenbaum, T Rocktäschel, ... arXiv preprint arXiv:2006.12122, 2020 | 163 | 2020 |
| The 1.688 Repetitive DNA of Drosophila: Concerted Evolution at Different Genomic Scales and Association with Genes GCS Kuhn, H Küttler, O Moreira-Filho, JS Heslop-Harrison Molecular biology and evolution 29 (1), 7-11, 2012 | 127 | 2012 |
| Minihack the planet: A sandbox for open-ended reinforcement learning research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... arXiv preprint arXiv:2109.13202, 2021 | 101 | 2021 |
| Neurips 2020 efficientqa competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021 | 80 | 2021 |
| Retrieval-augmented generation for knowledge-intensive NLP tasks. arXiv. org P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... | 67 | 2005 |
| Torchbeast: A pytorch platform for distributed rl H Küttler, N Nardelli, T Lavril, M Selvatici, V Sivakumar, T Rocktäschel, ... arXiv preprint arXiv:1910.03552, 2019 | 65 | 2019 |
| tau Yih P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... W., Rocktäschel, T., Riedel, S., Kiela, D.: Retrieval-augmented generation …, 2021 | 59 | 2021 |
| Mvfst-rl: An asynchronous rl framework for congestion control with delayed actions V Sivakumar, O Delalleau, T Rocktäschel, AH Miller, H Küttler, N Nardelli, ... arXiv preprint arXiv:1910.04054, 2019 | 50 | 2019 |
| Anderson’s orthogonality catastrophe M Gebert, H Küttler, P Müller Communications in Mathematical Physics 329, 979-998, 2014 | 26 | 2014 |
| Insights from the neurips 2021 nethack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022 | 23 | 2022 |
| Dungeons and data: A large-scale nethack dataset E Hambro, R Raileanu, D Rothermel, V Mella, T Rocktäschel, H Küttler, ... Advances in Neural Information Processing Systems 35, 24864-24878, 2022 | 22 | 2022 |
| Grounding aleatoric uncertainty for unsupervised environment design M Jiang, M Dennis, J Parker-Holder, A Lupu, H Küttler, E Grefenstette, ... Advances in Neural Information Processing Systems 35, 32868-32881, 2022 | 17 | 2022 |
| The exponent in the orthogonality catastrophe for Fermi gases M Gebert, H Küttler, P Müller, P Otte Journal of Spectral Theory, 643-683, 2016 | 12 | 2016 |
| Anderson’s orthogonality catastrophe for one-dimensional systems H Küttler, P Otte, W Spitzer Annales Henri Poincaré 15, 1655-1696, 2014 | 11 | 2014 |
Tim RocktäschelDirector and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLISPreverjeni e-poštni naslov na cs.ucl.ac.uk
