Edward Grefenstette

Marc Peter Deisenroth

CoRR, 2023

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport for Offline Imitation Learning.

[BibT_eX]

[DOI]

Marc Peter Deisenroth

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Planning in a Compact Latent Action Space.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

General Intelligence Requires Rethinking Exploration.

[BibT_eX]

[DOI]

Minqi Jiang

CoRR, 2022

Large language models are not zero-shot communicators.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Policy Learning via Language Dynamics Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning General World Models in a Handful of Reward-Free Deployments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Intrinsic Exploration with Language Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grounding Aleatoric Uncertainty for Unsupervised Environment Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolving Curricula with Regret-Based Environment Design.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Learning Reasoning Strategies in End-to-End Differentiable Proving.

[BibT_eX]

[DOI]

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

A Survey of Generalisation in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Replay-Guided Adversarial Environment Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Prioritized Level Replay.

[BibT_eX]

[DOI]

Minqi Jiang

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning with AMIGo: Adversarially Motivated Intrinsic Goals.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Differentiable Reasoning on Large Knowledge Bases and Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

The NetHack Learning Environment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta Learning via Learned Loss.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Reasoning Strategies in End-to-End Differentiable Proving.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

RTFM: Generalising to New Environment Dynamics via Reading.

[BibT_eX]

[DOI]

Victor Zhong

Proceedings of the 8th International Conference on Learning Representations, 2020

Differentiable Reasoning on Large Knowledge Bases and Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

RTFM: Generalising to Novel Environment Dynamics via Reading.

[BibT_eX]

[DOI]

Victor Zhong

CoRR, 2019

TorchBeast: A PyTorch Platform for Distributed RL.

[BibT_eX]

[DOI]

CoRR, 2019

Generalized Inner Loop Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2019

A Survey of Reinforcement Learning Informed by Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CompILE: Compositional Imitation Learning and Execution.

[BibT_eX]

[DOI]

Thomas Kipf

Yujia Li

Hanjun Dai

Vinícius Flores Zambaldi

Alvaro Sanchez-Gonzalez

Pushmeet Kohli

Peter W. Battaglia

Proceedings of the 36th International Conference on Machine Learning, 2019

Analysing Mathematical Reasoning Abilities of Neural Models.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Understand Goal Specifications by Modelling Reward.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

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

[BibT_eX]

[DOI]

Chenglong Wang

Rudy Bunel

Krishnamurthy Dvijotham

Po-Sen Huang

Pushmeet Kohli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

The NarrativeQA Reading Comprehension Challenge.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2018

Learning Explanatory Rules from Noisy Data.

[BibT_eX]

[DOI]

Richard Evans

J. Artif. Intell. Res., 2018

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

[BibT_eX]

[DOI]

Thomas Kipf

Yujia Li

Hanjun Dai

Vinícius Flores Zambaldi

Pushmeet Kohli

Peter W. Battaglia

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Explanatory Rules from Noisy Data (Extended Abstract).

[BibT_eX]

[DOI]

Richard Evans

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Can Neural Networks Understand Logical Entailment?

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Jointly Learning "What" and "How" from Instructions and Goal-States.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Teaching Artificial Agents to Understand Language by Modelling Reward.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Learning to Compute Word Embeddings On the Fly.

[BibT_eX]

[DOI]

Dzmitry Bahdanau

Tom Bosc

Stanislaw Jastrzebski

Pascal Vincent

Yoshua Bengio

CoRR, 2017

Discovering Discrete Latent Topics with Neural Variational Inference.

[BibT_eX]

[DOI]

Yishu Miao

Phil Blunsom

Proceedings of the 34th International Conference on Machine Learning, 2017

The Neural Noisy Channel.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Compose Words into Sentences with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Learning for Semantic Composition.

[BibT_eX]

[DOI]

Xiaodan Zhu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Hybrid computing using a neural network with dynamic external memory.

[BibT_eX]

[DOI]

Nat., 2016

Reasoning about Entailment with Neural Attention.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Latent Predictor Networks for Code Generation.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning.

[BibT_eX]

[DOI]

Comput. Linguistics, 2015

Teaching Machines to Read and Comprehend.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning to Transduce with Unbounded Memory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

2014

A Deep Architecture for Semantic Parsing.

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Jianpeng Cheng

Dimitri Kartsaklis

CoRR, 2014

A Convolutional Neural Network for Modelling Sentences.

[BibT_eX]

[DOI]

Nal Kalchbrenner

Edward Thomas Grefenstette

Phil Blunsom

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

New Directions in Vector Space Models of Meaning.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Category-theoretic quantitative compositional distributional models of natural language semantics.

[BibT_eX]

[DOI]

PhD thesis, 2013

A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure

[BibT_eX]

[DOI]

CoRR, 2013

Category-Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics.

[BibT_eX]

[DOI]

CoRR, 2013

Lambek vs. Lambek: Functorial vector space semantics and string diagrams for Lambek calculus.

[BibT_eX]

[DOI]

Bob Coecke

Ann. Pure Appl. Log., 2013

Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors.

[BibT_eX]

[DOI]

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Multi-Step Regression Learning for Compositional Distributional Semantics.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Computational Semantics, 2013

"Not not bad" is not "bad": A distributional account of negation.

[BibT_eX]

[DOI]

Karl Moritz Hermann

Phil Blunsom

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

2011

A Compositional Distributional Semantics, Two Concrete Constructions, and Some Experimental Evaluations.

[BibT_eX]

[DOI]

Proceedings of the Quantum Interaction - 5th International Symposium, 2011

Concrete Sentence Spaces for Compositional Distributional Models of Meaning.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Experimental Support for a Categorical Compositional Distributional Model of Meaning.

[BibT_eX]

[DOI]

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Experimenting with transitive verbs in a DisCoCat.

[BibT_eX]

[DOI]