2 papers
cs.LG2023
Individualized Dosing Dynamics via Neural Eigen Decomposition
Stav Belogolovsky, Ido Greenberg, Danny Eytan +1
Dosing models often use differential equations to model biological dynamics. Neural differential equations in particular can learn to predict the derivative of a process, which per…
cs.LG2019
Inverse Reinforcement Learning in Contextual MDPs
Stav Belogolovsky, Philip Korsunsky, Shie Mannor +2
We consider the task of Inverse Reinforcement Learning in Contextual Markov Decision Processes (MDPs). In this setting, contexts, which define the reward and transition kernel, are…