Search Results for author: Niranjani Prasad

Found 4 papers, 0 papers with code

Defining Admissible Rewards for High Confidence Policy Evaluation

no code implementations30 May 2019 Niranjani Prasad, Barbara E. Engelhardt, Finale Doshi-Velez

A key impediment to reinforcement learning (RL) in real applications with limited, batch data is defining a reward function that reflects what we implicitly know about reasonable behaviour for a task and allows for robust off-policy evaluation.

An Optimal Policy for Patient Laboratory Tests in Intensive Care Units

no code implementations14 Aug 2018 Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt

There exists an inherent trade-off in the selection and timing of lab tests between considerations of the expected utility in clinical decision-making of a given test at a specific time, and the associated cost or risk it poses to the patient.

Decision Making

A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units

no code implementations20 Apr 2017 Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt

The management of invasive mechanical ventilation, and the regulation of sedation and analgesia during ventilation, constitutes a major part of the care of patients admitted to intensive care units.

Scaling Recurrent Neural Network Language Models

no code implementations2 Feb 2015 Will Williams, Niranjani Prasad, David Mrva, Tom Ash, Tony Robinson

This paper investigates the scaling properties of Recurrent Neural Network Language Models (RNNLMs).

Language Modelling Machine Translation +1

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