Heinrich Küttler
Heinrich Küttler
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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
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
Deepmind lab
C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H Küttler, ...
arXiv preprint arXiv:1612.03801, 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
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
Kickstarting deep reinforcement learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
arXiv preprint arXiv:1803.03835, 2018
Learning with amigo: Adversarially motivated intrinsic goals
A Campero, R Raileanu, H Küttler, JB Tenenbaum, T Rocktäschel, ...
arXiv preprint arXiv:2006.12122, 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
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
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
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
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
Anderson’s orthogonality catastrophe
M Gebert, H Küttler, P Müller
Communications in Mathematical Physics 329, 979-998, 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
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
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
The exponent in the orthogonality catastrophe for Fermi gases
M Gebert, H Küttler, P Müller, P Otte
Journal of Spectral Theory, 643-683, 2016
Anderson’s orthogonality catastrophe for one-dimensional systems
H Küttler, P Otte, W Spitzer
Annales Henri Poincaré 15, 1655-1696, 2014
moolib: A Platform for Distributed RL. 2022
V Mella, E Hambro, D Rothermel, H Küttler
URL https://github. com/facebookresearch/moolib 8, 18, 2022
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