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,

et al
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.