Jonathan Peck
YOU?
Author Swipe
View article: Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems Open
Deep Reinforcement Learning uses a deep neural network to encode a policy, which achieves very good performance in a wide range of applications but is widely regarded as a black box model. A more interpretable alternative to deep networks …
View article: Correlation of Residents’ Performance in Competency-Based Exams and Orthopaedic In- Training Examinations (OITE)
Correlation of Residents’ Performance in Competency-Based Exams and Orthopaedic In- Training Examinations (OITE) Open
Background: The research team aimed to assess the relationship between performance in a competency-based curriculum (CBC) evaluation, and the Orthopaedic In-Training Examination (OITE) in the Postgraduate Year 1 (PGY1) cohort of 2016-2017.…