3 papers
cs.LG2025
Bayesian Optimization for Dynamic Pricing and Learning
Anush Anand, Pranav Agrawal, Tejas Bodas
Dynamic pricing is the practice of adjusting the selling price of a product to maximize a firm's revenue by responding to market demand. The literature typically distinguishes betw…
cs.LG2025
Tabular and Deep Reinforcement Learning for Gittins Index
Harshit Dhankhar, Kshitij Mishra, Tejas Bodas
In the realm of multi-arm bandit problems, the Gittins index policy is known to be optimal in maximizing the expected total discounted reward obtained from pulling the Markovian ar…
math.OC2025
CGD: Modifying the Loss Landscape by Gradient Regularization
Shikhar Saxena, Tejas Bodas, Arti Yardi
Line-search methods are commonly used to solve optimization problems. The simplest line search method is steepest descent where one always moves in the direction of the negative gr…