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cs.LG2024★ 1 cited
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…
cs.LG2024
Mixture Density Networks for Classification with an Application to Product Bundling
Narendhar Gugulothu, Sanjay P. Bhat, Tejas Bodas
While mixture density networks (MDNs) have been extensively used for regression tasks, they have not been used much for classification tasks. One reason for this is that the usabil…