Feature Reinforcement Learning using Looping Suffix Trees. - Mayank Daswani; Peter Sunehag; Marcus Hutter (EWRL, 2012)

Q-learning for history-based reinforcement learning. - Mayank Daswani; Peter Sunehag; Marcus Hutter (ACML, 2013)

Reinforcement learning with value advice. - Mayank Daswani; Peter Sunehag; Marcus Hutter (ACML, 2014)

A Definition of Happiness for Reinforcement Learning Agents. - Mayank Daswani; Jan Leike (AGI, 2015)

Self-Modification of Policy and Utility Function in Rational Agents. - Tom Everitt; Daniel Filan; Mayank Daswani; Marcus Hutter (AGI, 2016)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)

Plots Unlock Time-Series Understanding in Multimodal Models. - Mayank Daswani; Mathias M. J. Bellaiche; Marc Wilson; Desislav Ivanov; Mikhail Papkov; Eva Schnider; Jing Tang; Kay Lamerigts; Gabriela Botea; Michael A. Sanchez; Yojan Patel; Shruthi Prabhakara; et al. (CoRR, 2024)

Sequential Diagnosis with Language Models. - Harsha Nori; Mayank Daswani; Christopher Kelly; Scott M. Lundberg; Marco Túlio Ribeiro; Marc Wilson; Xiaoxuan Liu; Viknesh Sounderajah; Jonathan Carlson; Matthew P. Lungren; Bay Gross; Peter Hames; et al. (CoRR, 2025)

UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach. - Elzbieta Gruzewska; Pooja Rao; Sebastien Baur; Matthew Baugh; Mathias M. J. Bellaiche; Sharanya Srinivas; Octavio Ponce; Matthew Thompson; Pramod Rudrapatna; Michael A. Sanchez; Lawrence Z. Cai; Timothy JA Chico; et al. (CoRR, 2025)