Robert Kirk

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Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLEmail yang diverifikasi di google.com
Tim RocktäschelDirector and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLISEmail yang diverifikasi di cs.ucl.ac.uk
David Scott KruegerUniversity Assistant Professor, University of CambridgeEmail yang diverifikasi di cam.ac.uk
Eric HambroAnthropicEmail yang diverifikasi di anthropic.com
Minqi JiangFAIR at Meta AIEmail yang diverifikasi di ucl.ac.uk
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinEmail yang diverifikasi di austin.utexas.edu
Ekdeep Singh LubanaHarvard / NTTEmail yang diverifikasi di fas.harvard.edu
Usman AnwarUniversity of CambridgeEmail yang diverifikasi di cam.ac.uk
Hidenori TanakaGroup Leader, CBS-NTT Physics of Intelligence Program, Harvard UniversityEmail yang diverifikasi di fas.harvard.edu
Robert DickUniversity of Michigan, StrydEmail yang diverifikasi di rpdmail.dyndns.org
Vitaly KurinResearch Scientist at Isomorphic LabsEmail yang diverifikasi di isomorphiclabs.com
Mikayel SamvelyanGoogle DeepMindEmail yang diverifikasi di google.com
Fabio PetroniSamaya AIEmail yang diverifikasi di samaya.ai
Heinrich KüttlerxAIEmail yang diverifikasi di math.lmu.de
Jack Parker-HolderGoogle DeepMind, UCLEmail yang diverifikasi di google.com
Christoforos NalmpantisPostdoctoral Researcher, Fundamental AI Research at MetaEmail yang diverifikasi di fb.com
Jelena LuketinaOxford UniversityEmail yang diverifikasi di cs.ox.ac.uk
Ishita MedirattaMeta FAIREmail yang diverifikasi di meta.com
Thomas CosteNoah's Ark Lab & University of CambridgeEmail yang diverifikasi di cam.ac.uk
Samyak JainResearch Fellow at Microsoft ResearchEmail yang diverifikasi di itbhu.ac.in

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Robert Kirk

Research Scientist, UK AI Safety Institute

Email yang diverifikasi di dsit.gov.uk - Beranda

AI Alignment AI Safety Language Models Fine-tuning Generalisation


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel Journal of Artificial Intelligence Research 76, 201-264, 2023	225	2023
A survey of generalisation in deep reinforcement learning R Kirk, A Zhang, E Grefenstette, T Rocktäschel arXiv preprint arXiv:2111.09794 1, 16, 2021	188	2021
MiniHack the Planet: A Sandbox for Open-ended Reinforcement Learning Research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... NeurIPS 2021 Datasets and Benchmarks Track, 2021	97	2021
Understanding the Effects of RLHF on LLM Generalisation and Diversity R Kirk, I Mediratta, C Nalmpantis, J Luketina, E Hambro, E Grefenstette, ... ICLR 2024, 2023	87	2023
Reward Model Ensembles Help Mitigate Overoptimization T Coste, U Anwar, R Kirk, D Krueger ICLR 2024, 2023	83	2023
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks S Jain, R Kirk, ES Lubana, RP Dick, H Tanaka, E Grefenstette, ... ICLR 2024, 2023	53	2023
Insights from the neurips 2021 nethack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022	22	2022
Generalization to new sequential decision making tasks with in-context learning SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu ICML 2024, 2023	15	2023
Analyzing the Generalization and Reliability of Steering Vectors D Tan, D Chanin, A Lynch, D Kanoulas, B Paige, A Garriga-Alonso, R Kirk arXiv preprint arXiv:2407.12404, 2024	7	2024
Open problems in machine unlearning for ai safety F Barez, T Fu, A Prabhu, S Casper, A Sanyal, A Bibi, A O'Gara, R Kirk, ... arXiv preprint arXiv:2501.04952, 2025	5	2025
A study of off-policy learning in environments with procedural content generation A Ehrenberg, R Kirk, M Jiang, E Grefenstette, T Rocktäschel ICLR Workshop on Agent Learning in Open-Endedness, 2022	5	2022
Procedural knowledge in pretraining drives reasoning in large language models L Ruis, M Mozes, J Bae, SR Kamalakara, D Talupuru, A Locatelli, R Kirk, ... arXiv preprint arXiv:2411.12580, 2024	3	2024
Leading the Pack: N-player Opponent Shaping A Souly, T Willi, A Khan, R Kirk, C Lu, E Grefenstette, T Rocktäschel arXiv preprint arXiv:2312.12564, 2023	3	2023
Graph backup: Data efficient backup exploiting markovian transitions Z Jiang, T Zhang, R Kirk, T Rocktäschel, E Grefenstette arXiv preprint arXiv:2205.15824, 2022	3	2022
Domain Generalization for Robust Model-Based Offline Reinforcement Learning A Clark, SA Siddiqui, R Kirk, U Anwar, S Chung, D Krueger arXiv preprint arXiv:2211.14827, 2022	1	2022
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities Z Che, S Casper, R Kirk, A Satheesh, S Slocum, LE McKinney, ... arXiv preprint arXiv:2502.05209, 2025		2025
What Mechanisms Does Knowledge Distillation Distill? C Wu, ES Lubana, BK Mlodozeniec, R Kirk, D Krueger Proceedings of UniReps: the First Workshop on Unifying Representations in …, 2024		2024

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