#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. - Haoran Tang; Rein Houthooft; Davis Foote; Adam Stooke; Xi Chen 022; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel (NIPS, 2017)

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

AI Alignment with Changing and Influenceable Reward Functions. - Micah Carroll; Davis Foote; Anand Siththaranjan; Stuart Russell 001; Anca D. Dragan (ICML, 2024)

When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback. - Leon Lang; Davis Foote; Stuart J. Russell; Anca D. Dragan; Erik Jenner; Scott Emmons (NeurIPS, 2024)

When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. - Leon Lang; Davis Foote; Stuart Russell 001; Anca D. Dragan; Erik Jenner; Scott Emmons (CoRR, 2024)