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


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


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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


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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) 

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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


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Quantum Entropic Causal Inference


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


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Communication Efficient Parallel Reinforcement Learning


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


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Multi-Agent Multi-Armed Bandits with Limited Communication


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


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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 

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


Dec 31, 2020
Arnob Ghosh, Vaneet Aggarwal

* 9 pages 

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


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

* 9 pages, 11 figures 

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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


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Blind Decision Making: Reinforcement Learning with Delayed Observations


Nov 16, 2020
Mridul Agarwal, Vaneet Aggarwal


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


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


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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


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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


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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 

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


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


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Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints


Jun 10, 2020
Qinbo Bai, Vaneet Aggarwal, Ather Gattami


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From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks


Jun 07, 2020
Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang

* 7 pages, 4 figures 

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Efficient Gaussian Process Bandits by Believing only Informative Actions


Mar 23, 2020
Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel


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Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints


Mar 11, 2020
Qinbo Bai, Ather Gattami, Vaneet Aggarwal


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A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning


Oct 30, 2019
Ashutosh Singh, Abubakr Alabbasi, Vaneet Aggarwal

* This is an extended version of the work presented in NeurIPS Workshop 2019. arXiv admin note: text overlap with arXiv:1903.03882 

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Deep Reinforcement Learning Based Power control for Wireless Multicast Systems


Oct 24, 2019
Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma


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Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning


Oct 23, 2019
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal

* 5 pages, 2 figures; submitted to IEEE ICASSP 2020 

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Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent


Oct 03, 2019
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

* arXiv admin note: text overlap with arXiv:1703.00887 by other authors 

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Encoders and Decoders for Quantum Expander Codes Using Machine Learning


Sep 06, 2019
Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal


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A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making


Sep 06, 2019
Mridul Agarwal, Vaneet Aggarwal


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GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning


Aug 30, 2019
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal


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