VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. - Susobhan Ghosh; Easwar Subramanian; Sanjay P. Bhat; Sujit Gujar; Praveen Paruchuri (AAAI, 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)

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. - Susobhan Ghosh; Sujit Gujar; Praveen Paruchuri; Easwar Subramanian; Sanjay P. Bhat (AAAI, 2020)

Using Public Data to Predict Demand for Mobile Health Clinics. - Haipeng Chen 001; Susobhan Ghosh; Gregory Fan; Nikhil Behari; Arpita Biswas; Mollie Williams; Nancy E. Oriol; Milind Tambe (AAAI, 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 (AAAI, 2022)

Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. - Aditya S. Mate; Arpita Biswas; Christoph Siebenbrunner; Susobhan Ghosh; Milind Tambe (AAMAS, 2022)

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 (AAMAS, 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 (ISCA, 2023)

ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use. - Susobhan Ghosh; Yongyi Guo; Pei-Yao Hung; Lara N. Coughlin; Erin E. Bonar; Inbal Nahum-Shani; Maureen A. Walton; Susan A. Murphy (IJCAI, 2024)

MiWaves Reinforcement Learning Algorithm. - Susobhan Ghosh; Yongyi Guo; Pei-Yao Hung; Lara N. Coughlin; Erin E. Bonar; Inbal Nahum-Shani; Maureen A. Walton; Susan A. Murphy (CoRR, 2024)

Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation. - Anna L. Trella; Susobhan Ghosh; Erin E. Bonar; Lara N. Coughlin; Finale Doshi-Velez; Yongyi Guo; Pei-Yao Hung; Inbal Nahum-Shani; Vivek Shetty; Maureen A. Walton; Iris Yan; Kelly W. Zhang; et al. (CoRR, 2024)

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. - Susobhan Ghosh; Raphael Kim; Prasidh Chhabria; Raaz Dwivedi; Predrag Klasnja; Peng Liao; Kelly W. Zhang; Susan A. Murphy (Mach. Learn., 2024)

"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study. - Susobhan Ghosh; Pei-Yao Hung; Lara N. Coughlin; Erin E. Bonar; Yongyi Guo; Inbal Nahum-Shani; Maureen A. Walton; Mark W. Newman; Susan A. Murphy (CoRR, 2025)