Publications

Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray Dungeons and Data: A Large-Scale NetHack Dataset arXiv:2211.00539
Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob Foerster Grounding Aleatoric Uncertainty for Unsupervised Environment Design arXiv:2207.05219
Eric Hambro, Sharada Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, Jo Daejin, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michał Sypetkowski Insights from the NeurIPS 2021 NetHack Challenge arXiv:2203.11889

Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel PAQ: 65 million probably-asked questions and what you can do with them arXiv:2102.07033
Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research arXiv:2109.13202
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned NeurIPS 2020 · arXiv:2101.00133

Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021 · arXiv:2006.12122
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel The NetHack Learning Environment NeurIPS 2020 · arXiv:2006.13760
Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NeurIPS 2020 · arXiv:2005.11401

Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions arXiv:1910.04054
Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette TorchBeast: A PyTorch Platform for Distributed RL arXiv:1910.03552

Simon Schmitt, Jonathan J. Hudson, Augustin Zidek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami Kickstarting Deep Reinforcement Learning arXiv:1803.03835

Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing StarCraft II: A New Challenge for Reinforcement Learning arXiv:1708.04782

Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward, Marcus Wainwright, Heinrich Küttler, Andrew Lefrancq, Simon Green, Víctor Valdés, Amir Sadik, Julian Schrittwieser, Keith Anderson, Sarah York, Max Cant, Adam Cain, Adrian Bolton, Stephen Gaffney, Helen King, Demis Hassabis, Shane Legg, Stig Petersen DeepMind Lab arXiv:1612.03801
Martin Gebert, Heinrich Küttler, Peter Müller, Peter Otte The exponent in the orthogonality catastrophe for Fermi gases J. Spectr. Theory 6 (3), 643–683 (2016) · doi: 10.4171/JST/135 · arXiv:1407.2512

Heinrich Küttler, Peter Otte, Wolfgang Spitzer Anderson’s Orthogonality Catastrophe for One-dimensional Systems Ann. Henri Poincaré 15 (9), 1655–1696 (2014) · doi: 10.1007/s00023-013-0287-z · arXiv:1301.4923
Martin Gebert, Heinrich Küttler, Peter Müller Anderson’s Orthogonality Catastrophe Comm. Math. Phys. 329 (3), 979–998 (2014) · doi: 10.1007/s00220-014-1914-3 · arXiv:1302.6124

Heinrich Küttler. Anderson’s orthogonality catastrophe. Dissertation. LMU München, Fakultät für Mathematik, Informatik und Statistik, 2014.
Heinrich Küttler. Gauss-Abschätzungen für holomorphe Halbgruppen, und uniform elliptische Operatoren. Diplomarbeit. Technische Universität Dresden, Fachrichtung Mathematik, 2009.