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Peter S. Barnett
Peter S. Barnett
Machine Intelligence Research Institute
Verified email at intelligence.org
Title
Cited by
Cited by
Year
Active reward learning from multiple teachers
P Barnett, R Freedman, J Svegliato, S Russell
arXiv preprint arXiv:2303.00894, 2023
132023
Probing strong coupling between a microwave cavity and a spin ensemble with Raman heterodyne spectroscopy
GGG King, PS Barnett, JG Bartholomew, A Faraon, JJ Longdell
Physical Review B 103 (21), 214305, 2021
122021
Theory of microwave-optical conversion using rare-earth-ion dopants
PS Barnett, JJ Longdell
Physical Review A 102 (6), 063718, 2020
112020
Controlled creation of three-dimensional vortex structures in Bose-Einstein condensates using artificial magnetic fields
J Schloss, P Barnett, R Sachdeva, T Busch
Physical Review A 102 (4), 043325, 2020
112020
Dynamics of hot Bose-Einstein condensates: stochastic Ehrenfest relations for number and energy damping
RG McDonald, PS Barnett, F Atayee, A Bradley
SciPost Physics 8 (2), 029, 2020
62020
Verification methods for international AI agreements
AR Wasil, T Reed, JW Miller, P Barnett
arXiv preprint arXiv:2408.16074, 2024
32024
Oases of Cooperation: An Empirical Evaluation of Reinforcement Learning in the Iterated Prisoner's Dilemma.
P Barnett, J Burden
SafeAI@ AAAI, 2022
22022
Theory of microwave to optical photon upconversion using erbium doped crystals
P Barnett
University of Otago, 2020
12020
Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation
P Barnett, L Thiergart
arXiv preprint arXiv:2411.12820, 2024
2024
Governing dual-use technologies: Case studies of international security agreements and lessons for AI governance
AR Wasil, P Barnett, M Gerovitch, R Hauksson, T Reed, JW Miller
arXiv preprint arXiv:2409.02779, 2024
2024
Without fundamental advances, misalignment and catastrophe are the default outcomes of training powerful AI
P Barnett, J Gillen
2024
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Articles 1–11