Jan Leike

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Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
Matthias HeizmannUniversity of Freiburg, GermanyVerified email at heizmann.name
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com
Tom EverittSenior researcher at DeepMindVerified email at google.com
Paul ChristianoAlignment Research CenterVerified email at alignmentresearchcenter.org
David Scott KruegerUniversity Lecturer, University of Cambridge; PhD Student, University of MontrealVerified email at umontreal.ca
Pushmeet KohliDeepMindVerified email at google.com
Andreas PodelskiProfessor of Computer Science, Freiburg UniversityVerified email at informatik.uni-freiburg.de
Edward GrefenstetteResearch Scientist, Facebook AI Research; Honorary Professor, UCLVerified email at fb.com
Felix HillResearch Scientist, DeepmindVerified email at google.com
Dzmitry BahdanauElement AIVerified email at iro.umontreal.ca
Geoffrey IrvingDeepMindVerified email at naml.us
Tor LattimoreDeepMindVerified email at google.com
Tegan MaharajPhD student, MILA (Polytechnique Montreal)Verified email at polymtl.ca
Siddharth ReddyComputer Science Ph.D. Student, UC BerkeleyVerified email at berkeley.edu
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Anca D DraganAssistant Professor at UC BerkeleyVerified email at berkeley.edu
Ashish TiwariComputer Scientist, SRI InternationalVerified email at csl.sri.com
Adam GleaveUC BerkeleyVerified email at eecs.berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu

Jan Leike

OpenAI

Verified email at openai.com - Homepage

reinforcement learning deep learning agent alignment


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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	489	2017
AI Safety Gridworlds J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, ... arXiv preprint arXiv:1711.09883, 2017	200	2017
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	103	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	90*	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	78	2018
Ranking Templates for Linear Loops J Leike, M Heizmann Logical Methods in Computer Science, 2015	75*	2015
Linear ranking for linear lasso programs M Heizmann, J Hoenicke, J Leike, A Podelski Automated Technology for Verification and Analysis, 365-380, 2013	52	2013
Geometric nontermination arguments J Leike, M Heizmann International Conference on Tools and Algorithms for the Construction and …, 2018	33*	2018
Thompson sampling is asymptotically optimal in general environments J Leike, T Lattimore, L Orseau, M Hutter Conference on Uncertainty in Artificial Intelligence, 2016	32	2016
Bad universal priors and notions of optimality J Leike, M Hutter Conference on Learning Theory, 1244-1259, 2015	32	2015
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	29	2016
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	29	2015
Universal Reinforcement Learning Algorithms: Survey and Experiments J Aslanides, J Leike, M Hutter arXiv preprint arXiv:1705.10557, 2017	22	2017
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	21	2020
Nonparametric general reinforcement learning J Leike PhD thesis, Australian National University, 2016	18	2016
Evaluating large language models trained on code M Chen, J Tworek, H Jun, Q Yuan, H Ponde, J Kaplan, H Edwards, ... arXiv preprint arXiv:2107.03374, 2021	16	2021
On the computability of Solomonoff induction and knowledge-seeking J Leike, M Hutter International Conference on Algorithmic Learning Theory, 364-378, 2015	13	2015
Active reinforcement learning: Observing rewards at a cost D Krueger, J Leike, O Evans, J Salvatier Future of Interactive Learning Machines, NIPS Workshop, 2016	12*	2016
A formal solution to the grain of truth problem J Leike, J Taylor, B Fallenstein Conference on Uncertainty in Artificial Intelligence, 2016	11	2016
Sequential extensions of causal and evidential decision theory T Everitt, J Leike, M Hutter International Conference on Algorithmic DecisionTheory, 205-221, 2015	11	2015

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