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Career

· Postdoctoral Researcher in Reinforcement Learning, Whiteson Research Lab, University of Oxford2018–
· PI of DARK Lab, UCL Centre for Artificial Intelligence

Publications (96)

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Neural Information Processing Systems · 2020
11,053
cited
Reasoning about Entailment with Neural Attention
International Conference on Learning Representations · 2015
775
cited
e-SNLI: Natural Language Inference with Natural Language Explanations
Neural Information Processing Systems · 2018
721
cited
KILT: a Benchmark for Knowledge Intensive Language Tasks
North American Chapter of the Association for Computational Linguistics · 2020
704
cited
The CHEMDNER corpus of chemicals and drugs and its annotation principles
Journal of Cheminformatics · 2015
433
cited
Genie: Generative Interactive Environments
International Conference on Machine Learning · 2024
377
cited
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
International Conference on Machine Learning · 2023
361
cited
A Survey of Reinforcement Learning Informed by Natural Language
International Joint Conference on Artificial Intelligence · 2019
304
cited
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Journal of Artificial Intelligence Research · 2021
227
cited
Learning to Speak and Act in a Fantasy Text Adventure Game
Conference on Empirical Methods in Natural Language Processing · 2019
220
cited
The NetHack Learning Environment
Neural Information Processing Systems · 2020
210
cited
Debating with More Persuasive LLMs Leads to More Truthful Answers
International Conference on Machine Learning · 2024
208
cited
Prioritized Level Replay
International Conference on Machine Learning · 2020
196
cited
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
International Conference on Learning Representations · 2020
194
cited
A Survey of Generalisation in Deep Reinforcement Learning
arXiv.org · 2021
191
cited
Evolving Curricula with Regret-Based Environment Design
International Conference on Machine Learning · 2022
166
cited
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Neural Information Processing Systems · 2024
158
cited
Human-Timescale Adaptation in an Open-Ended Task Space
International Conference on Machine Learning · 2023
149
cited
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
International Conference on Learning Representations · 2020
140
cited
Replay-Guided Adversarial Environment Design
Neural Information Processing Systems · 2021
130
cited
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Tim Rocktäschel | Researcher Profile | Sotabase | Sotabase