Bhargav Ganguly

According to our database, Bhargav Ganguly authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift.

Bhargav Ganguly, Vaneet Aggarwal

IEEE/ACM Trans. Netw., February, 2024

Variational Offline Multi-agent Skill Discovery.

Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal

CoRR, 2024

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.

Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal

CoRR, 2024

2023

Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point.

Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang

IEEE/ACM Trans. Netw., December, 2023

Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning.

Bhargav Ganguly, Vaneet Aggarwal

CoRR, 2023

Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning.

Bhargav Ganguly, Yulian Wu, Di Wang, Vaneet Aggarwal

CoRR, 2023

Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective.

Jiayu Chen, Bhargav Ganguly, Sameeran G. Kanade, Vincent G. Duffy

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022

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

Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Communication efficient parallel reinforcement learning.

Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning.

Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021