Inference of Utilities and Time Preference in Sequential Decision-Making
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore the intricacies of inferring utilities and time preferences in sequential decision-making processes during this 29-minute conference talk presented by Haoyang Cao from Johns Hopkins University. Delivered at the Eastern Conference on Mathematical Finance on September 27, 2024, at the Fields Institute, delve into advanced concepts and methodologies used to analyze and predict decision-making patterns in complex scenarios. Gain insights into the mathematical foundations and practical applications of utility inference and time preference modeling in financial contexts.
Syllabus
Inference of Utilities and Time Preference in Sequential Decision-Making
Taught by
Fields Institute
Related Courses
Toward Generalizable Embodied AI for Machine AutonomyBolei Zhou via YouTube What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation?
Simons Institute via YouTube Better Learning from the Past - Counterfactual - Batch RL
Simons Institute via YouTube Off-Policy Policy Optimization
Simons Institute via YouTube Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin
Institute for Advanced Study via YouTube