Andrew Critch - RankMe

32 papers A* 6A 1B 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Taxonomy of Omnicidal Futures Involving Artificial Intelligence. CoRR Andrew Critch, Jacob Tsimerman
2024	J	`jnl`	Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online. CoRR 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 R. 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
2023	J	`jnl`	TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI. CoRR Andrew Critch, Stuart Russell
2022	J	`jnl`	Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory. CoRR Andrew Critch, Michael Dennis, Stuart Russell
2022	A*	`conf`	For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. ICML Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
2022	J	`jnl`	For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. CoRR Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
2022	J	`jnl`	Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis. Frontiers Artif. Intell. Wenting Hu, Owen Combden, Xianta Jiang, Syamala Buragadda, Caitlin J. Newell, Maria C. Williams, Andrew Critch, Michelle Ploughman
2022	J	`jnl`	WordSig: QR streams enabling platform-independent self-identification that's impossible to deepfake. CoRR Andrew Critch
2021	A	`conf`	Accumulating Risk Capital Through Investing in Cooperation. AAMAS Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
2021	J	`jnl`	Accumulating Risk Capital Through Investing in Cooperation. CoRR Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
2021	A*	`conf`	Aligning AI With Shared Human Values. ICLR Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt
2021	J	`jnl`	Clusterability in Neural Networks. CoRR Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
2021	J	`jnl`	Detecting Modularity in Deep Neural Networks. CoRR Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell
2021	J	`jnl`	Human irrationality: both bad and good for reward inference. CoRR Lawrence Chan, Andrew Critch, Anca D. Dragan
2021	A*	`conf`	Optimal Policies Tend To Seek Power. NeurIPS Alexander Matt Turner, Logan Smith, Rohin Shah, Andrew Critch, Prasad Tadepalli
2020	J	`jnl`	AI Research Considerations for Human Existential Safety (ARCHES). CoRR Andrew Critch, David Krueger
2020	J	`jnl`	Aligning AI With Shared Human Values. CoRR Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt
2020	A*	`conf`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Multi-Principal Assistance Games: Definition and Collegial Mechanisms. CoRR Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell
2020	J	`jnl`	Neural Networks are Surprisingly Modular. CoRR Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
2020	A*	`conf`	The MAGICAL Benchmark for Robust Imitation. NeurIPS Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
2020	J	`jnl`	The MAGICAL Benchmark for Robust Imitation. CoRR Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
2019	J	`jnl`	A parametric, Resource-Bounded Generalization of löB's Theorem, and a robust Cooperation criterion for Open-Source Game Theory. J. Symb. Log. Andrew Critch
2018	A*	`conf`	Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making. NeurIPS Nishant Desai, Andrew Critch, Stuart J. Russell
2017	B	`conf`	A Formal Approach to the Problem of Logical Non-Omniscience. TARK Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, Nate Soares, Jessica Taylor
2017	J	`jnl`	Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making. CoRR Andrew Critch, Stuart Russell
2017	J	`jnl`	Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making. CoRR Andrew Critch
2016	J	`jnl`	Logical Induction. CoRR Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, Nate Soares, Jessica Taylor
2016	J	`jnl`	Logical Induction. Electron. Colloquium Comput. Complex. Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch, Nate Soares, Jessica Taylor
2016	J	`jnl`	Parametric Bounded Löb's Theorem and Robust Cooperation of Bounded Agents. CoRR Andrew Critch
2013	J	`jnl`	A note on the proportionality between some consistency indices in the AHP. Appl. Math. Comput. Matteo Brunelli, Andrew Critch, Michele Fedrizzi