Bhargav Ganguly — accepted AI-conference papers

2025

Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes

Bhargav Ganguly, Yang Xu, Vaneet Aggarwal

ICML 2025poster

This paper investigates the potential of quantum acceleration in addressing infinite horizon Markov Decision Processes (MDPs) to enhance average reward outcomes. We introduce an innovative quantum framework for the agent's engagement with an unknown MDP, extending the conventional interaction paradi…

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2021

Communication efficient parallel reinforcement learning

Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal

UAI 2021poster

We consider the problem where $M$ agents interact with $M$ identical and independent environments with $S$ states and $A$ actions using reinforcement learning for $T$ rounds. The agents share their data with a central server to minimize their regret. We aim to find an algorithm that allows the agent…

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