Susobhan Ghosh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Amazon Mechanical Turk

Allocation Policies

Reinforcement Learning

Top Venues

Publications

Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use. CoRR (2024)
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Mach. Learn. 113 (7) (2024)
Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR (2023)
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. AAMAS (2023)
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasjna, Peng Liao, Kelly W. Zhang, Susan Murphy
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR (2023)
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. CoRR (2023)
Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA (2023)
Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe
Facilitating Human-Wildlife Cohabitation through Conflict Prediction. AAAI (2022)
Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. AAMAS (2022)
Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe
Using Public Data to Predict Demand for Mobile Health Clinics. AAAI (2022)
Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe
Facilitating human-wildlife cohabitation through conflict prediction. CoRR (2021)
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. AAAI (2020)
Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. AAAI (2019)
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version). CoRR (2019)