543 citations · 2.3k across the 163 of their papers we have counts for
5 papers · 2 filters
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning
Ashutosh Singh, Abubakr Alabbasi, Vaneet Aggarwal
The growth of autonomous vehicles, ridesharing systems, and self driving technology will bring a shift in the way ride hailing platforms plan out their services. However, these adv…
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis Elgabli, Jihong Park, Amrit S. Bedi +3
In this article, we propose a communication-efficient decentralized machine learning (ML) algorithm, coined quantized group ADMM (Q-GADMM). To reduce the number of communication li…
Reinforcement Learning for Joint Optimization of Multiple Rewards
Mridul Agarwal, Vaneet Aggarwal
Finding optimal policies which maximize long term rewards of Markov Decision Processes requires the use of dynamic programming and backward induction to solve the Bellman optimalit…
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
Anis Elgabli, Jihong Park, Amrit S. Bedi +2
When the data is distributed across multiple servers, lowering the communication cost between the servers (or workers) while solving the distributed learning problem is an importan…
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…