Deep Reinforcement Learning for 2048 J Amar, A Dedieu | 10* | 2017 |
Equitable restless multi-armed bandits: a general framework inspired by digital health JA Killian, M Jain, Y Jia, J Amar, E Huang, M Tambe arXiv preprint arXiv:2308.09726, 2023 | 6 | 2023 |
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection B Kumar, J Amar, E Yang, N Li, Y Jia arXiv preprint arXiv:2405.06093, 2024 | 1 | 2024 |
New Approach to Equitable Intervention Planning to Improve Engagement and Outcomes in a Digital Health Program: Simulation Study JA Killian, M Jain, Y Jia, J Amar, E Huang, M Tambe JMIR diabetes 9 (1), e52688, 2024 | 1 | 2024 |
Unveiling the power of convolutional neural networks in melanoma diagnosis L Van Dieren, JZ Amar, N Geurs, T Quisenaerts, C Gillet, B Delforge, ... European Journal of Dermatology 33 (5), 495-505, 2023 | 1 | 2023 |
Near-Optimal Online Knapsack Strategy for Real-Time Bidding in Internet Advertising. J Amar, N Renegar, H Lu CoRR, 2018 | 1* | 2018 |
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation E Yang, J Amar, JH Lee, B Kumar, Y Jia arXiv preprint arXiv:2407.18044, 2024 | | 2024 |
Algorithmic advancements in the practice of revenue management JZ Amar Massachusetts Institute of Technology, 2021 | | 2021 |