Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery

no code implementations • 25 Aug 2023 • Patrick Emedom-Nnamdi, Timothy R. Smith, Jukka-Pekka Onnela, Junwei Lu

Under this approach, we are able to locally approximate the action-value function and retrieve the nonlinear, independent contribution of select features as well as joint feature pairs.

Clinical Knowledge reinforcement-learning

Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning

no code implementations • 5 May 2023 • Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matt W. Hoffman

However, due to safety, ethical, and practicality constraints, this type of trial-and-error experimentation is often infeasible in many real-world domains such as healthcare and robotics.

Decision Making reinforcement-learning +1