Tim Rocktäschel

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 142

Top Venues

CoRR

NeurIPS

ICML

ICLR

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R. Bowman, Tim Rocktäschel, Ethan Perez
Debating with More Persuasive LLMs Leads to More Truthful Answers. CoRR (2024)
Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
Multi-Agent Diagnostics for Robustness via Illuminated Diversity. CoRR (2024)
Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang
Human-Timescale Adaptation in an Open-Ended Task Space. ICML (2023)
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution. CoRR (2023)
Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang
Human-Timescale Adaptation in an Open-Ended Task Space. CoRR (2023)
Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs. NeurIPS (2023)
Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR (2023)
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
Efficient Planning in a Compact Latent Action Space. ICLR (2023)
Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR (2023)
Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
Scaling Opponent Shaping to High Dimensional Games. CoRR (2023)
Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel
minimax: Efficient Baselines for Autocurricula in JAX. CoRR (2023)
Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning. J. Artif. Intell. Res. 76 (2023)
Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel
Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR (2023)
Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs (2023)
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. CoRR (2023)
Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang
Vision-Language Models as a Source of Rewards. CoRR (2023)
Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR (2023)
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
H-GAP: Humanoid Control with a Generalist Planner. CoRR (2023)
Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
JaxMARL: Multi-Agent RL Environments in JAX. CoRR (2023)
Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel
Leading the Pack: N-player Opponent Shaping. CoRR (2023)
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS (2022)
Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
Improving Policy Learning via Language Dynamics Distillation. CoRR (2022)
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
Efficient Planning in a Compact Latent Action Space. CoRR (2022)
Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette
Large language models are not zero-shot communicators. CoRR (2022)
Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
Exploration via Elliptical Episodic Bonuses. NeurIPS (2022)
Minqi Jiang, Tim Rocktäschel, Edward Grefenstette
General Intelligence Requires Rethinking Exploration. CoRR (2022)
Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
Evolving Curricula with Regret-Based Environment Design. ICML (2022)
Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS (2022)
Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
GriddlyJS: A Web IDE for Reinforcement Learning. CoRR (2022)
Michael Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoRR (2022)
Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
Improving Policy Learning via Language Dynamics Distillation. NeurIPS (2022)
Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR (2022)
Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS (2022)
Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
Dungeons and Data: A Large-Scale NetHack Dataset. CoRR (2022)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. CoRR (2022)
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
Learning General World Models in a Handful of Reward-Free Deployments. CoRR (2022)
Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
Improving Intrinsic Exploration with Language Abstractions. NeurIPS (2022)
Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob Foerster, Edward Grefenstette, Tim Rocktäschel
Evolving Curricula with Regret-Based Environment Design. CoRR (2022)
Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS (2022)
Michael Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoLLAs (2022)
Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
Improving Intrinsic Exploration with Language Abstractions. CoRR (2022)
Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR (2022)
Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
Exploration via Elliptical Episodic Bonuses. CoRR (2022)
Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
Generalization in Cooperative Multi-Agent Systems. CoRR (2022)
Danielle Rothermel, Margaret Li, Tim Rocktäschel, Jakob N. Foerster
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers. CoRR (2021)
Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob Foerster, Edward Grefenstette, Tim Rocktäschel
Replay-Guided Adversarial Environment Design. CoRR (2021)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) (2021)
Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks (2021)
Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. ICLR (2021)
Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
Prioritized Level Replay. ICML (2021)
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. ICLR (2021)
Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. NAACL-HLT (2021)
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS (2021)
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR (2021)
Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
A Survey of Generalisation in Deep Reinforcement Learning. CoRR (2021)
Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR (2021)
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT (2021)
Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
Replay-Guided Adversarial Environment Design. NeurIPS (2021)
Roberta Raileanu, Tim Rocktäschel
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. CoRR (2020)
Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
Prioritized Level Replay. CoRR (2020)
Roberta Raileanu, Tim Rocktäschel
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. ICLR (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML (2020)
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR (2020)
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
The NetHack Learning Environment. CoRR (2020)
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR (2020)
Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston
Generating Interactive Worlds with Text. AAAI (2020)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR (2020)
Victor Zhong, Tim Rocktäschel, Edward Grefenstette
RTFM: Generalising to New Environment Dynamics via Reading. ICLR (2020)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS (2020)
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
How Context Affects Language Models' Factual Predictions. AKBC (2020)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. EMNLP (1) (2020)
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
How Context Affects Language Models' Factual Predictions. CoRR (2020)
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
Differentiable Reasoning on Large Knowledge Bases and Natural Language. AAAI (2020)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. CoRR (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR (2020)
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) (2020)
Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. CoRR (2020)
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. CoRR (2020)
Leon Weber, Jannes Münchmeyer, Tim Rocktäschel, Maryam Habibi, Ulf Leser
HUNER: improving biomedical NER with pretraining. Bioinform. 36 (1) (2020)
Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. CoRR (2020)
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
The NetHack Learning Environment. NeurIPS (2020)
Alexander Imani Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR (2019)
Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette
TorchBeast: A PyTorch Platform for Distributed RL. CoRR (2019)
Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston
Generating Interactive Worlds with Text. CoRR (2019)
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. ACL (1) (2019)
Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML (2019)
Victor Zhong, Tim Rocktäschel, Edward Grefenstette
RTFM: Generalising to Novel Environment Dynamics via Reading. CoRR (2019)
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
Learning to Speak and Act in a Fantasy Text Adventure Game. CoRR (2019)
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. CoRR (2019)
Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak
Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI (2019)
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
How Decoding Strategies Affect the Verifiability of Generated Text. CoRR (2019)
Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson
Stable Opponent Shaping in Differentiable Games. ICLR (Poster) (2019)
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller
Language Models as Knowledge Bases? EMNLP/IJCNLP (1) (2019)
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
Differentiable Reasoning on Large Knowledge Bases and Natural Language. CoRR (2019)
Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR (2019)
Fabio Petroni, Tim Rocktäschel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
Language Models as Knowledge Bases? CoRR (2019)
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
A Survey of Reinforcement Learning Informed by Natural Language. CoRR (2019)
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
A Survey of Reinforcement Learning Informed by Natural Language. IJCAI (2019)
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston
Learning to Speak and Act in a Fantasy Text Adventure Game. EMNLP/IJCNLP (1) (2019)
Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tim Rocktäschel