| VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition S Ghosh, E Subramanian, SP Bhat, S Gujar, P Paruchuri Thirty-Third AAAI Conference on Artificial Intelligence., 2019 | 20 | 2019 |
| Archgym: An open-source gymnasium for machine learning assisted architecture design S Krishnan, A Yazdanbakhsh, S Prakash, J Jabbour, I Uchendu, S Ghosh, ... Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 14 | 2023 |
| Efficient algorithms for finite horizon and streaming restless multi-armed bandit problems A Mate, A Biswas, C Siebenbrunner, S Ghosh, M Tambe arXiv preprint arXiv:2103.04730, 2021 | 13 | 2021 |
| Bidding in smart grid PDAs: theory, analysis and strategy S Ghosh, S Gujar, P Paruchuri, E Subramanian, S Bhat Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1974-1981, 2020 | 10 | 2020 |
| Did we personalize? assessing personalization by an online reinforcement learning algorithm using resampling S Ghosh, R Kim, P Chhabria, R Dwivedi, P Klasnja, P Liao, K Zhang, ... Machine learning 113 (7), 3961-3997, 2024 | 9 | 2024 |
| Fairness for workers who pull the arms: An index based policy for allocation of restless bandit tasks A Biswas, JA Killian, PR Diaz, S Ghosh, M Tambe arXiv preprint arXiv:2303.00799, 2023 | 6 | 2023 |
| rebandit: Random effects based online rl algorithm for reducing cannabis use S Ghosh, Y Guo, PY Hung, L Coughlin, E Bonar, I Nahum-Shani, ... arXiv preprint arXiv:2402.17739, 2024 | 5 | 2024 |
| VidyutVanika: An Autonomous Broker Agent for Smart Grid Environment S Ghosh, K Prakash, S Chandlekar, E Subramanian, SP Bhat, S Gujar, ... Policy, Awareness, Sustainability and Systems (PASS) Workshop, 2019 | 5 | 2019 |
| Using public data to predict demand for mobile health clinics H Chen, S Ghosh, G Fan, N Behari, A Biswas, M Williams, NE Oriol, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12461 …, 2022 | 3 | 2022 |
| A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol LN Coughlin, M Campbell, T Wheeler, C Rodriguez, AR Florimbio, ... Contemporary Clinical Trials 145, 107667, 2024 | 2 | 2024 |
| VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice S Chandlekar, BS Pedasingu, S Ghosh, E Subramanian, S Bhat, ... Energy Sustainability through Retail Electricity Markets: The Power Trading …, 2023 | 1 | 2023 |
| Facilitating human-wildlife cohabitation through conflict prediction S Ghosh, P Varakantham, A Bhatkhande, T Ahmad, A Andheria, W Li, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12496 …, 2022 | 1 | 2022 |
| " It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study S Ghosh, PY Hung, LN Coughlin, EE Bonar, Y Guo, I Nahum-Shani, ... arXiv preprint arXiv:2502.17645, 2025 | | 2025 |
| Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation AL Trella, S Ghosh, EE Bonar, L Coughlin, F Doshi-Velez, Y Guo, ... arXiv preprint arXiv:2409.10526, 2024 | | 2024 |
| MiWaves Reinforcement Learning Algorithm S Ghosh, Y Guo, PY Hung, L Coughlin, E Bonar, I Nahum-Shani, ... arXiv preprint arXiv:2408.15076, 2024 | | 2024 |
| Learning Strategies for Power Trading in Smart Grids S Ghosh International Institute of Information Technology, 2019 | | 2019 |
| Demand prediction of mobile clinics using public data H Chen, S Ghosh, G Fan, N Behari, A Biswas, M Williams, NE Oriol, ... | | |
Sujit GujarInternational Institute of Information Technology, HyderabadVerified email at iiit.ac.in
