Seminar Details
2007-04-17 (14.00) : Clinical data based optimal STI strategies for HIV : a reinforcement learning approach
At Auditoire Euler
Organized by Mathematical Engineering
Speaker :
Guy-Bart Stan (Cambridge University)
Abstract :
This research addresses the problem of computing optimal structured treatment interruption strategies for HIV infected patients.
We show that reinforcement learning may be useful to extract such strategies
directly from clinical data, without the need of an accurate
mathematical model of HIV infection dynamics. To support our claims,
we report simulation results obtained by running a recently proposed
batch-mode reinforcement learning algorithm, known as fitted Q
iteration, on numerically generated data.