TalkRL: Reinforcement Learning Interviews

Thomas Krendl Gilbert is a PhD student at UC Berkeley’s Center for Human-Compatible AI, specializing in Machine Ethics and Epistemology.Featured ReferencesHard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical CommitmentsRoel Dobbe, Thomas Krendl Gilbert, Yonatan MintzMapping the Political Economy of Reinforcement Learning Systems: The Case of Autonomous VehiclesThomas Krendl GilbertAI Development for the Public Interest: From Abstraction Traps to Sociotechnical RisksMcKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert and Tom ZickAdditional References Political Economy of Reinforcement Learning Systems (PERLS) The Law and Political Economy (LPE) Project The Societal Implications of Deep Reinforcement Learning, Jess Whittlestone, Kai Arulkumaran, Matthew Crosby Robot Brains Podcast: Yann LeCun explains why Facebook would crumble without AI