Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Vaneet Aggarwal

Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients


Jan 04, 2022
Hanhan Zhou, Tian Lan, Vaneet Aggarwal


  Access Paper or Ask Questions

Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach


Oct 29, 2021
Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob


  Access Paper or Ask Questions

Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming


Oct 22, 2021
Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal


  Access Paper or Ask Questions

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach


Sep 13, 2021
Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal


  Access Paper or Ask Questions

Concave Utility Reinforcement Learning with Zero-Constraint Violations


Sep 12, 2021
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal


  Access Paper or Ask Questions

DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning


Sep 09, 2021
Xinwu Qian, Shuocheng Guo, Vaneet Aggarwal


  Access Paper or Ask Questions

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)


Sep 09, 2021
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri

* 47 pages 

  Access Paper or Ask Questions

An FEA surrogate model with Boundary Oriented Graph Embedding approach


Aug 30, 2021
Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal


  Access Paper or Ask Questions

Markov Decision Processes with Long-Term Average Constraints


Jun 12, 2021
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal


  Access Paper or Ask Questions

Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent


May 31, 2021
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal


  Access Paper or Ask Questions

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm


May 28, 2021
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal


  Access Paper or Ask Questions

Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach


Apr 24, 2021
Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob


  Access Paper or Ask Questions

AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection


Apr 01, 2021
Marina Haliem, Vaneet Aggarwal, Bharat Bhargava


  Access Paper or Ask Questions

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery


Mar 05, 2021
Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal

* This paper is presented in part at the 31st International Conference on Automated Planning and Scheduling (ICAPS 2021) 

  Access Paper or Ask Questions

Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach


Mar 01, 2021
Marina Haliem, Trevor Bonjour, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat Bhargava, Mayank Kejriwal


  Access Paper or Ask Questions

Quantum Entropic Causal Inference


Feb 23, 2021
Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob


  Access Paper or Ask Questions

Communication Efficient Parallel Reinforcement Learning


Feb 22, 2021
Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal


  Access Paper or Ask Questions

Multi-Agent Multi-Armed Bandits with Limited Communication


Feb 10, 2021
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli


  Access Paper or Ask Questions

A Supervised Learning Approach for Robust Health Monitoring using Face Videos


Jan 30, 2021
Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal

* Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing (DFHS 2020) Nov. 2020 pp. 6-10 
* The main part of the paper appeared in DFHS'20: Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing; while the Supplementary did not appear in the proceedings 

  Access Paper or Ask Questions

Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents


Dec 31, 2020
Arnob Ghosh, Vaneet Aggarwal

* 9 pages 

  Access Paper or Ask Questions

A multi-agent evolutionary robotics framework to train spiking neural networks


Dec 07, 2020
Souvik Das, Anirudh Shankar, Vaneet Aggarwal

* 9 pages, 11 figures 

  Access Paper or Ask Questions

PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning


Nov 17, 2020
Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat Bhargava


  Access Paper or Ask Questions

Blind Decision Making: Reinforcement Learning with Delayed Observations


Nov 16, 2020
Mridul Agarwal, Vaneet Aggarwal


  Access Paper or Ask Questions

DART: aDaptive Accept RejecT for non-linear top-K subset identification


Nov 16, 2020
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek Umrawal


  Access Paper or Ask Questions

Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming


Nov 12, 2020
Mounssif Krouka, Anis Elgabli, Mohammed S. Elbamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal


  Access Paper or Ask Questions

A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning


Oct 05, 2020
Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat Bhargava


  Access Paper or Ask Questions

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks


Aug 30, 2020
Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolo Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai

* 64 pages, 48 figures 

  Access Paper or Ask Questions

FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation


Jul 27, 2020
Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal


  Access Paper or Ask Questions