Susobhan Ghosh

According to our database, Susobhan Ghosh authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use.

Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy

CoRR, 2024

2023

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling.

Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag V. Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy

CoRR, 2023

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design.

Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.

Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems.

Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Facilitating Human-Wildlife Cohabitation through Conflict Prediction.

Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Using Public Data to Predict Demand for Mobile Health Clinics.

Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy.

Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version).

Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat

CoRR, 2019

VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition.

Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019