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2020 – today
- 2024
[i20]Steven Adler, Zoë Hitzig, Shrey Jain, Catherine Brewer, Wayne Chang, Renee DiResta, Eddy Lazzarin, Sean McGregor, Wendy Seltzer, Divya Siddarth, Nouran Soliman, Tobin South, Connor Spelliscy, Manu Sporny, Varya Srivastava, John Bailey, Brian Christian, Andrew Critch, Ronnie Falcon, Heather Flanagan, Kim Hamilton Duffy, Eric Ho, Claire R. Leibowicz, Srikanth Nadhamuni, Alan Z. Rozenshtein, David Schnurr, Evan Shapiro, Lacey Strahm, Andrew Trask, Zoe Weinberg, Cedric Whitney, Tom Zick:
Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online. CoRR abs/2408.07892 (2024)- 2023
- [i19]Andrew Critch, Stuart Russell:
TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI. CoRR abs/2306.06924 (2023) - 2022
- [j3]Wenting Hu, Owen Combden, Xianta Jiang, Syamala Buragadda, Caitlin J. Newell, Maria C. Williams, Andrew Critch, Michelle Ploughman:
Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis. Frontiers Artif. Intell. 5 (2022) - [c8]Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell:
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. ICML 2022: 5924-5943 - [i18]Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell:
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. CoRR abs/2207.03470 (2022) - [i17]Andrew Critch:
WordSig: QR streams enabling platform-independent self-identification that's impossible to deepfake. CoRR abs/2207.10806 (2022) - [i16]Andrew Critch, Michael Dennis, Stuart Russell:
Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory. CoRR abs/2208.07006 (2022) - 2021
- [c7]Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell:
Accumulating Risk Capital Through Investing in Cooperation. AAMAS 2021: 1073-1081 - [c6]Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. ICLR 2021 - [c5]Alexander Matt Turner, Logan Smith, Rohin Shah, Andrew Critch, Prasad Tadepalli:
Optimal Policies Tend To Seek Power. NeurIPS 2021: 23063-23074 - [i15]Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell:
Accumulating Risk Capital Through Investing in Cooperation. CoRR abs/2101.10305 (2021) - [i14]Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell:
Clusterability in Neural Networks. CoRR abs/2103.03386 (2021) - [i13]Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell:
Detecting Modularity in Deep Neural Networks. CoRR abs/2110.08058 (2021) - [i12]Lawrence Chan, Andrew Critch, Anca D. Dragan:
Human irrationality: both bad and good for reward inference. CoRR abs/2111.06956 (2021) - 2020
- [c4]Michael Dennis, Natasha Jaques, Eugene Vinitsky
, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS 2020 - [c3]Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell:
The MAGICAL Benchmark for Robust Imitation. NeurIPS 2020 - [i11]Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell:
Neural Networks are Surprisingly Modular. CoRR abs/2003.04881 (2020) - [i10]Andrew Critch, David Krueger:
AI Research Considerations for Human Existential Safety (ARCHES). CoRR abs/2006.04948 (2020) - [i9]Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. CoRR abs/2008.02275 (2020) - [i8]Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell:
The MAGICAL Benchmark for Robust Imitation. CoRR abs/2011.00401 (2020) - [i7]Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR abs/2012.02096 (2020) - [i6]Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell:
Multi-Principal Assistance Games: Definition and Collegial Mechanisms. CoRR abs/2012.14536 (2020)
2010 – 2019
- 2019
- [j2]Andrew Critch:
A parametric, Resource-Bounded Generalization of löB's Theorem, and a robust Cooperation criterion for Open-Source Game Theory. J. Symb. Log. 84(4): 1368-1381 (2019) - 2018
- [c2]Nishant Desai, Andrew Critch, Stuart J. Russell:
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making. NeurIPS 2018: 4717-4725 - 2017
- [c1]Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, Nate Soares, Jessica Taylor:
A Formal Approach to the Problem of Logical Non-Omniscience. TARK 2017: 221-235 - [i5]Andrew Critch:
Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making. CoRR abs/1701.01302 (2017) - [i4]Andrew Critch, Stuart Russell:
Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making. CoRR abs/1711.00363 (2017) - 2016
- [i3]Andrew Critch:
Parametric Bounded Löb's Theorem and Robust Cooperation of Bounded Agents. CoRR abs/1602.04184 (2016) - [i2]Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, Nate Soares, Jessica Taylor:
Logical Induction. CoRR abs/1609.03543 (2016) - [i1]Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, Nate Soares, Jessica Taylor:
Logical Induction. Electron. Colloquium Comput. Complex. TR16 (2016) - 2013
- [j1]Matteo Brunelli, Andrew Critch, Michele Fedrizzi:
A note on the proportionality between some consistency indices in the AHP. Appl. Math. Comput. 219(14): 7901-7906 (2013)
Coauthor Index
aka: Stuart J. Russell
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