research
∙
06/24/2023
Individualized Dosing Dynamics via Neural Eigen Decomposition
Dosing models often use differential equations to model biological dynam...
share
research
∙
01/26/2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
A major challenge of reinforcement learning (RL) in real-world applicati...
research
∙
07/25/2022
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning
Despite recent advances in natural language understanding and generation...
research
∙
05/10/2022
Efficient Risk-Averse Reinforcement Learning
In risk-averse reinforcement learning (RL), the goal is to optimize some...
research
∙
01/31/2022
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics
Motivated by a real-world problem of blood coagulation control in Hepari...
research
∙
04/06/2021
Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal
Determining the noise parameters of a Kalman Filter (KF) has been resear...
research
∙
10/22/2020