16 citations · 17 across the 4 of their papers we have counts for
6 papers
Communication Efficient Parallel Reinforcement Learning
Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
We consider the problem where agents interact with identical and independent environments with states and actions using reinforcement learning for rounds. The a…
Multi-Agent Multi-Armed Bandits with Limited Communication
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
We consider the problem where agents collaboratively interact with an instance of a stochastic arm bandit problem for . The agents aim to simultaneously minimize t…
Blind Decision Making: Reinforcement Learning with Delayed Observations
Mridul Agarwal, Vaneet Aggarwal
Reinforcement learning typically assumes that the state update from the previous actions happens instantaneously, and thus can be used for making future decisions. However, this ma…
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Gradient descent and its variants are widely used in machine learning. However, oracle access of gradient may not be available in many applications, limiting the direct use of grad…
Encoders and Decoders for Quantum Expander Codes Using Machine Learning
Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal
Quantum key distribution (QKD) allows two distant parties to share encryption keys with security based on laws of quantum mechanics. In order to share the keys, the quantum bits ha…
Reinforcement Learning for Mean Field Game
Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh +1
Stochastic games provide a framework for interactions among multiple agents and enable a myriad of applications. In these games, agents decide on actions simultaneously, the state…