3 papers
cs.GT2026
A Tractable Continuous-Time Model for Designing Interventions for Time-Inconsistent Agents
Yasunori Akagi, Hideaki Kim, Daichi Fushihara +3
Designing effective goals and rewards for time-inconsistent agents is a central problem in many long-term tasks, such as learning, exercise, work, and project completion. An agent…
cs.GT2024
A Continuous-time Tractable Model for Present-biased Agents
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
Present bias, the tendency to overvalue immediate rewards while undervaluing future ones, is a well-known barrier to achieving long-term goals. As artificial intelligence and behav…
math.OC2024
Joint Pricing and Matching for Resource Allocation Platforms via Min-cost Flow Problem
Yuya Hikima, Yasunori Akagi, Hideaki Kim
Stochastic matching is the stochastic version of the well-known matching problem, which consists in maximizing the rewards of a matching under a set of probability distributions as…