Tim Rocktäschel

Affiliations:
  • Universitiy College London, UK


According to our database1, Tim Rocktäschel authored at least 106 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Bibliography

2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
CoRR, 2024

Genie: Generative Interactive Environments.
CoRR, 2024

Debating with More Persuasive LLMs Leads to More Truthful Answers.
CoRR, 2024

Multi-Agent Diagnostics for Robustness via Illuminated Diversity.
CoRR, 2024

2023
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning.
J. Artif. Intell. Res., 2023

Scaling Opponent Shaping to High Dimensional Games.
CoRR, 2023

Leading the Pack: N-player Opponent Shaping.
CoRR, 2023

Vision-Language Models as a Source of Rewards.
CoRR, 2023

H-GAP: Humanoid Control with a Generalist Planner.
CoRR, 2023

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks.
CoRR, 2023

minimax: Efficient Baselines for Autocurricula in JAX.
CoRR, 2023

JaxMARL: Multi-Agent RL Environments in JAX.
CoRR, 2023

Mix-ME: Quality-Diversity for Multi-Agent Learning.
CoRR, 2023

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.
CoRR, 2023

Human-Timescale Adaptation in an Open-Ended Task Space.
CoRR, 2023

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Planning in a Compact Latent Action Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stabilizing Unsupervised Environment Design with a Learned Adversary.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
General Intelligence Requires Rethinking Exploration.
CoRR, 2022

Large language models are not zero-shot communicators.
CoRR, 2022

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions.
CoRR, 2022

Generalization in Cooperative Multi-Agent Systems.
CoRR, 2022

Improving Policy Learning via Language Dynamics Distillation.
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.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploration via Elliptical Episodic Bonuses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dungeons and Data: A Large-Scale NetHack Dataset.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GriddlyJS: A Web IDE for Reinforcement Learning.
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.
Proceedings of the International Conference on Machine Learning, 2022

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Learning Reasoning Strategies in End-to-End Differentiable Proving.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

A Survey of Generalisation in Deep Reinforcement Learning.
CoRR, 2021

Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers.
CoRR, 2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Replay-Guided Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


KILT: a Benchmark for Knowledge Intensive Language Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Prioritized Level Replay.
Proceedings of the 38th International Conference on Machine Learning, 2021

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning with AMIGo: Adversarially Motivated Intrinsic Goals.
Proceedings of the 9th International Conference on Learning Representations, 2021

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

KILT: a Benchmark for Knowledge Intensive Language Tasks.
CoRR, 2020

WordCraft: An Environment for Benchmarking Commonsense Agents.
CoRR, 2020

There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
CoRR, 2020

HUNER: improving biomedical NER with pretraining.
Bioinform., 2020

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The NetHack Learning Environment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Reasoning Strategies in End-to-End Differentiable Proving.
Proceedings of the 37th International Conference on Machine Learning, 2020

RTFM: Generalising to New Environment Dynamics via Reading.
Proceedings of the 8th International Conference on Learning Representations, 2020

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments.
Proceedings of the 8th International Conference on Learning Representations, 2020

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Decoding Strategies Affect the Verifiability of Generated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

How Context Affects Language Models' Factual Predictions.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Differentiable Reasoning on Large Knowledge Bases and Natural Language.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generating Interactive Worlds with Text.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RTFM: Generalising to Novel Environment Dynamics via Reading.
CoRR, 2019

MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
CoRR, 2019

TorchBeast: A PyTorch Platform for Distributed RL.
CoRR, 2019

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings.
CoRR, 2019

Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

A Survey of Reinforcement Learning Informed by Natural Language.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stable Opponent Shaping in Differentiable Games.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Speak and Act in a Fantasy Text Adventure Game.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Language Models as Knowledge Bases?
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Combining representation learning with logic for language processing.
PhD thesis, 2018

Towards Neural Theorem Proving at Scale.
CoRR, 2018

e-SNLI: Natural Language Inference with Natural Language Explanations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DiCE: The Infinitely Differentiable Monte-Carlo Estimator.
Proceedings of the 6th International Conference on Learning Representations, 2018

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Interpretation of Natural Language Rules in Conversational Machine Reading.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Jack the Reader - A Machine Reading Framework.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017
Combining Representation Learning with Logic for Language Processing.
CoRR, 2017

TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning.
CoRR, 2017

Adversarial Sets for Regularising Neural Link Predictors.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

End-to-end Differentiable Proving.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Frustratingly Short Attention Spans in Neural Language Modeling.
Proceedings of the 5th International Conference on Learning Representations, 2017

Programming With a Differentiable Forth Interpreter.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
MuFuRU: The Multi-Function Recurrent Unit.
CoRR, 2016

Reasoning about Entailment with Neural Attention.
Proceedings of the 4th International Conference on Learning Representations, 2016

Programming with a Differentiable Forth Interpreter.
CoRR, 2016

Generating Natural Language Inference Chains.
CoRR, 2016

Learning Python Code Suggestion with a Sparse Pointer Network.
CoRR, 2016

SETH detects and normalizes genetic variants in text.
Bioinform., 2016

Lifted Rule Injection for Relation Embeddings.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Stance Detection with Bidirectional Conditional Encoding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning Knowledge Base Inference with Neural Theorem Provers.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Regularizing Relation Representations by First-order Implications.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

emoji2vec: Learning Emoji Representations from their Description.
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015
The CHEMDNER corpus of chemicals and drugs and its annotation principles.
J. Cheminformatics, 2015

Towards Two-Way Interaction with Reading Machines.
Proceedings of the Statistical Language and Speech Processing, 2015

WOLFE: An NLP-friendly Declarative Machine Learning Stack.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Injecting Logical Background Knowledge into Embeddings for Relation Extraction.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Matrix and Tensor Factorization Methods for Natural Language Processing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Towards Extracting Faithful and Descriptive Representations of Latent Variable Models.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012
ChemSpot: a hybrid system for chemical named entity recognition.
Bioinform., 2012


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