← Authors

Tim Rocktäschel

61 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (3) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (6) 🤝 Dynamic Duo (19) 👥 Mega-Team (27) 🌱 Topic Pioneer 👑 Triple Crown 🔬 Deep Specialist (10) 🏆 Grand Slam 📈 Trend Setter 🗃️ Keyword Collector (171) 💎 Century Club (61) 🚀 Conference Pioneer 🔥 Unstoppable (11) ❓ The Questioner (2) ⚡ Prolific Year (5)

Conferences

NIPS (15) ICLR (12) ICML (12) EMNLP (7) NAACL (4) ACL (3) IJCNLP (3) AAAI (2) SEMEVAL (2) IJCAI (1)

Top co-authors

Edward Grefenstette (19) Sebastian Riedel (17) Minqi Jiang (10) Jack Parker-Holder (10) Jakob Foerster (9) Roberta Raileanu (8) Shimon Whiteson (7) Pasquale Minervini (5) Mikayel Samvelyan (5) Patrick Lewis (5)

Research topics

Natural Language Processing (1)

Keywords

reinforcement learning (8) question answering (5) deep reinforcement learning (4) large language model (4) knowledge base (4) curriculum learning (4) natural language (3) imitation learning (3) language model (3) natural language inference (3) text generation (3) representation learning (3) neural network (3) generative model (2) gradient estimation (2) natural language understanding (2) adversarial learning (2) procedural generation (2) link prediction (2) symbolic reasoning (2)

Papers

Investigating Non-Transitivity in LLM-as-a-Judge ICML 2025
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models ICLR 2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ICLR 2025
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NIPS 2024
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks ICLR 2024
H-GAP: Humanoid Control with a Generalist Planner ICLR 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NIPS 2024
Debating with More Persuasive LLMs Leads to More Truthful Answers ICML 2024
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence ICML 2024
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution ICML 2024
Genie: Generative Interactive Environments ICML 2024
Human-Timescale Adaptation in an Open-Ended Task Space ICML 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023
Efficient Planning in a Compact Latent Action Space ICLR 2023
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs NIPS 2023
Improving Intrinsic Exploration with Language Abstractions NIPS 2022
Evolving Curricula with Regret-Based Environment Design ICML 2022
Dungeons and Data: A Large-Scale NetHack Dataset NIPS 2022
Improving Policy Learning via Language Dynamics Distillation NIPS 2022
GriddlyJS: A Web IDE for Reinforcement Learning NIPS 2022
Learning General World Models in a Handful of Reward-Free Deployments NIPS 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
Exploration via Elliptical Episodic Bonuses NIPS 2022
Replay-Guided Adversarial Environment Design NIPS 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control ICLR 2021
KILT: a Benchmark for Knowledge Intensive Language Tasks NAACL 2021
Prioritized Level Replay ICML 2021
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds NAACL 2021
RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020
The NetHack Learning Environment NIPS 2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NIPS 2020
Generating Interactive Worlds with Text AAAI 2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language AAAI 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020
How Decoding Strategies Affect the Verifiability of Generated Text EMNLP 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments ICLR 2020
Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020
Stable Opponent Shaping in Differentiable Games ICLR 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Language Models as Knowledge Bases? EMNLP 2019
Learning to Speak and Act in a Fantasy Text Adventure Game EMNLP 2019
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language ACL 2019
A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019
Learning to Speak and Act in a Fantasy Text Adventure Game IJCNLP 2019
Language Models as Knowledge Bases? IJCNLP 2019
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning ICLR 2018
Jack the Reader – A Machine Reading Framework ACL 2018
e-SNLI: Natural Language Inference with Natural Language Explanations NIPS 2018
Interpretation of Natural Language Rules in Conversational Machine Reading EMNLP 2018
End-to-end Differentiable Proving NIPS 2017
Programming with a Differentiable Forth Interpreter ICML 2017
Lifted Rule Injection for Relation Embeddings EMNLP 2016
Stance Detection with Bidirectional Conditional Encoding EMNLP 2016
WOLFE: An NLP-friendly Declarative Machine Learning Stack NAACL 2015
Matrix and Tensor Factorization Methods for Natural Language Processing ACL 2015
Matrix and Tensor Factorization Methods for Natural Language Processing IJCNLP 2015
Injecting Logical Background Knowledge into Embeddings for Relation Extraction NAACL 2015
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs SEMEVAL 2013
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting SEMEVAL 2013