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20172026
most citedA Brief Survey of Deep Reinforcement Learning

4.4k citations · 6.4k across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CY2026

Underwriting the Agent Economy: The Blueprint for an AI Insurance Stack

Cristian Trout, Sanmi Koyejo, Sasha Romanosky +34

From maritime trade to commercial nuclear power, insurance has been the enabler of major economic and technological developments by pricing risk, limiting downside, and spreading b…

cs.CY202422 cited

Computing Power and the Governance of Artificial Intelligence

Girish Sastry, Lennart Heim, Haydn Belfield +16

Computing power, or "compute," is crucial for the development and deployment of artificial intelligence (AI) capabilities. As a result, governments and companies have started to le…

cs.CY2023

Report of the 1st Workshop on Generative AI and Law

A. Feder Cooper, Katherine Lee, James Grimmelmann +32

This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw), held in July 2023. A cross-disciplinary group of practitioners and scholars from com…

cs.CY202313 cited

Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings

Sarah Shoker, Andrew Reddie, Sarah Barrington +20

Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapon…

cs.CY202320 cited

International Institutions for Advanced AI

Lewis Ho, Joslyn Barnhart, Robert Trager +8

International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI's ability to further sust…

cs.CY2023

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Markus Anderljung, Joslyn Barnhart, Anton Korinek +21

Advanced AI models hold the promise of tremendous benefits for humanity, but society needs to proactively manage the accompanying risks. In this paper, we focus on what we term "fr…