Daniel Filan

2016201720182019202020212 6 11 8 17 1

Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
Tom EverittResearch Scientist at DeepmindVerified email at google.com
Mayank DaswaniGoogleVerified email at google.com
Cody WildResearch Engineer, Center for Human Compatible AI, BerkeleyVerified email at berkeley.edu
Andrew CritchUC Berkeley, Department of Electrical Engineering and Computer SciencesVerified email at eecs.berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Shlomi HodPhD Student, Boston UniversityVerified email at bu.edu
Owain EvansResearch Associate, University of OxfordVerified email at philosophy.ox.ac.uk
Chris CundyUniversity of StanfordVerified email at stanford.edu
Jan LeikeOpenAIVerified email at openai.com

Daniel Filan

PhD Student, UC Berkeley

Verified email at berkeley.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-modification of policy and utility function in rational agents T Everitt, D Filan, M Daswani, M Hutter International Conference on Artificial General Intelligence, 1-11, 2016	24	2016
Modeling Agents with Probabilistic Programs O Evans, A Stuhlmüller, J Salvatier, D Filan URL: http://agentmodels. org, 2017	8	2017
Pruned Neural Networks are Surprisingly Modular D Filan, S Hod, C Wild, A Critch, S Russell arXiv preprint arXiv:2003.04881, 2020	6	2020
Exploring hierarchy-aware inverse reinforcement learning C Cundy, D Filan arXiv preprint arXiv:1807.05037, 2018	4	2018
Loss bounds and time complexity for speed priors D Filan, J Leike, M Hutter Artificial Intelligence and Statistics, 1394-1402, 2016	3	2016
Agents Using Speed Priors D Filan		2015
Loss Bounds and Time Complexity for Speed Priors: Supplementary Material D Filan, J Leike, M Hutter

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