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Learning Reasoning Strategies in End-to-End Differentiable Proving

Jul 14, 2020
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

* Proceedings of the 37th International Conference on Machine Learning (ICML 2020) 

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The NetHack Learning Environment

Jun 24, 2020
Heinrich K√ľttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rockt√§schel

* 27 pages 

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Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Jun 22, 2020
Andres Campero, Roberta Raileanu, Heinrich K√ľttler, Joshua B. Tenenbaum, Tim Rockt√§schel, Edward Grefenstette

* 17 pages, 5 figures 

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Differentiable Reasoning on Large Knowledge Bases and Natural Language

Dec 17, 2019
Pasquale Minervini, Matko BoŇ°njak, Tim Rockt√§schel, Sebastian Riedel, Edward Grefenstette

* Accepted at the 34th AAAI Conference on Artificial Intelligence (AAAI-20) 

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RTFM: Generalising to Novel Environment Dynamics via Reading

Oct 18, 2019
Victor Zhong, Tim Rocktäschel, Edward Grefenstette

* 17 pages, 13 figures 

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TorchBeast: A PyTorch Platform for Distributed RL

Oct 08, 2019
Heinrich K√ľttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rockt√§schel, Edward Grefenstette


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Generalized Inner Loop Meta-Learning

Oct 07, 2019
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

* 17 pages, 3 figures, 1 algorithm 

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A Survey of Reinforcement Learning Informed by Natural Language

Jun 10, 2019
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel

* Published at IJCAI'19 

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Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications

Apr 26, 2019
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli


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Analysing Mathematical Reasoning Abilities of Neural Models

Apr 02, 2019
David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli


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Compositional Imitation Learning: Explaining and executing one task at a time

Dec 04, 2018
Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter Battaglia

* Presented at the Learning by Instruction (LBI) Workshop at NeurIPS 2018 

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Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles

Nov 22, 2018
Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

* 12 pages 

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Learning to Understand Goal Specifications by Modelling Reward

Oct 02, 2018
Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette

* 18 pages, 8 figures 

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Discovering Discrete Latent Topics with Neural Variational Inference

May 21, 2018
Yishu Miao, Edward Grefenstette, Phil Blunsom

* ICML 2017 

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Learning to Compute Word Embeddings On the Fly

Mar 07, 2018
Dzmitry Bahdanau, Tom Bosc, StanisŇāaw Jastrzńôbski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio


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Can Neural Networks Understand Logical Entailment?

Feb 23, 2018
Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette

* Published at ICLR 2018 (main conference) 

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Learning Explanatory Rules from Noisy Data

Jan 25, 2018
Richard Evans, Edward Grefenstette

* 64 pages, to appear in Journal of Artificial Intelligence Research (Special Track on Deep Learning, Knowledge Representation, and Reasoning) 

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The NarrativeQA Reading Comprehension Challenge

Dec 19, 2017
Tom√°Ň° Końćisk√Ĺ, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, G√°bor Melis, Edward Grefenstette


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The Neural Noisy Channel

Mar 06, 2017
Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomas Kocisky

* ICLR 2017 

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Learning to Compose Words into Sentences with Reinforcement Learning

Nov 28, 2016
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling


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Semantic Parsing with Semi-Supervised Sequential Autoencoders

Sep 29, 2016
Tom√°Ň° Końćisk√Ĺ, G√°bor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann


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Latent Predictor Networks for Code Generation

Jun 08, 2016
Wang Ling, Edward Grefenstette, Karl Moritz Hermann, Tom√°Ň° Końćisk√Ĺ, Andrew Senior, Fumin Wang, Phil Blunsom


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Reasoning about Entailment with Neural Attention

Mar 01, 2016
Tim Rockt√§schel, Edward Grefenstette, Karl Moritz Hermann, Tom√°Ň° Końćisk√Ĺ, Phil Blunsom

* ICLR 2016 camera-ready, 9 pages, 10 figures (incl. subfigures) 

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Teaching Machines to Read and Comprehend

Nov 19, 2015
Karl Moritz Hermann, Tom√°Ň° Końćisk√Ĺ, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom

* Appears in: Advances in Neural Information Processing Systems 28 (NIPS 2015). 14 pages, 13 figures 

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Learning to Transduce with Unbounded Memory

Nov 03, 2015
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom

* 14 pages, 4 figures, NIPS 2015 

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Investigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning

Nov 15, 2014
Jianpeng Cheng, Dimitri Kartsaklis, Edward Grefenstette

* NIPS 2014 

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A Deep Architecture for Semantic Parsing

Apr 29, 2014
Edward Grefenstette, Phil Blunsom, Nando de Freitas, Karl Moritz Hermann

* In Proceedings of the Semantic Parsing Workshop at ACL 2014 (forthcoming) 

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A Convolutional Neural Network for Modelling Sentences

Apr 08, 2014
Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom


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