Theja is an IIT and MIT alum. He is a PhD researcher and machine learning engineer working in the areas of AI and machine learning.
Highlights
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Jupyter Notebook Updated
Oct 7, 2023 -
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Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)
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Code for paper " Faster Reinforcement Learning Using Active Simulators" (2017)
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Code accompanying the paper 'Bandits with Stochastic Impairments' (2018)
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Code for the paper 'An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions'
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Code for the paper " Learning to Partition Using Pairwise Compatibilities"
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Code for the paper " Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing"
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Code associated with https://arxiv.org/pdf/1405.7764
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Machine Learning and the Traveling Repairman Problem