Jan Leike
Jan Leike
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Cited by
Cited by
Deep reinforcement learning from human preferences
PF Christiano, J Leike, T Brown, M Martic, S Legg, D Amodei
Advances in Neural Information Processing Systems 30, 4299-4307, 2017
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
AI Safety Gridworlds
J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, ...
arXiv preprint arXiv:1711.09883, 2017
Training language models to follow instructions with human feedback
L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ...
arXiv preprint arXiv:2203.02155, 2022
Reward learning from human preferences and demonstrations in Atari
B Ibarz, J Leike, T Pohlen, G Irving, S Legg, D Amodei
Advances in Neural Information Processing Systems, 8011-8023, 2018
Learning to Understand Goal Specifications by Modelling Reward
D Bahdanau, F Hill, J Leike, E Hughes, P Kohli, E Grefenstette
arXiv preprint arXiv:1806.01946, 2018
Scalable agent alignment via reward modeling: a research direction
J Leike, D Krueger, T Everitt, M Martic, V Maini, S Legg
arXiv preprint arXiv:1811.07871, 2018
Ranking Templates for Linear Loops
J Leike, M Heizmann
Logical Methods in Computer Science, 2015
Linear ranking for linear lasso programs
M Heizmann, J Hoenicke, J Leike, A Podelski
Automated Technology for Verification and Analysis, 365-380, 2013
Learning human objectives by evaluating hypothetical behavior
S Reddy, A Dragan, S Levine, S Legg, J Leike
International Conference on Machine Learning, 8020-8029, 2020
Recursively summarizing books with human feedback
J Wu, L Ouyang, DM Ziegler, N Stiennon, R Lowe, J Leike, P Christiano
arXiv preprint arXiv:2109.10862, 2021
Geometric nontermination arguments
J Leike, M Heizmann
International Conference on Tools and Algorithms for the Construction and …, 2018
Thompson sampling is asymptotically optimal in general environments
J Leike, T Lattimore, L Orseau, M Hutter
Conference on Uncertainty in Artificial Intelligence, 2016
Bad universal priors and notions of optimality
J Leike, M Hutter
Conference on Learning Theory, 1244-1259, 2015
Ultimate Automizer with array interpolation
M Heizmann, D Dietsch, J Leike, B Musa, A Podelski
International Conference on Tools and Algorithms for the Construction and …, 2015
Quantifying Differences in Reward Functions
A Gleave, M Dennis, S Legg, S Russell, J Leike
arXiv preprint arXiv:2006.13900, 2020
Ultimate automizer with two-track proofs
M Heizmann, D Dietsch, M Greitschus, J Leike, B Musa, C Schätzle, ...
International Conference on Tools and Algorithms for the Construction and …, 2016
Institutionalizing ethics in AI through broader impact requirements
CEA Prunkl, C Ashurst, M Anderljung, H Webb, J Leike, A Dafoe
Nature Machine Intelligence 3 (2), 104-110, 2021
Universal Reinforcement Learning Algorithms: Survey and Experiments
J Aslanides, J Leike, M Hutter
arXiv preprint arXiv:1705.10557, 2017
Nonparametric general reinforcement learning
J Leike
PhD thesis, Australian National University, 2016
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