Fwd: RI Ph.D. Thesis Proposal: Viraj Mehta today at 2pm
Jeff Schneider
jeff4 at andrew.cmu.edu
Tue May 24 09:21:35 EDT 2022
Reminder: Come out and hear Viraj's thesis proposal this afternoon on
Fusion and RL!
Jeff.
-------- Forwarded Message --------
Subject: RI Ph.D. Thesis Proposal: Viraj Mehta
Date: Wed, 11 May 2022 17:46:04 +0000
From: Suzanne Lyons Muth <lyonsmuth at cmu.edu>
To: ri-people at lists.andrew.cmu.edu <ri-people at lists.andrew.cmu.edu>
Date: 24 May 2022
Time: 2:00 p.m. (ET)
Location: NSH 4305
Zoom Link:
https://cmu.zoom.us/j/97423016814?pwd=R2JMRWRhR0w1SUR6S2taQTJQVFhvdz09
<https://cmu.zoom.us/j/97423016814?pwd=R2JMRWRhR0w1SUR6S2taQTJQVFhvdz09>
Type: Ph.D. Thesis Proposal
Who: Viraj Mehta
Title: On Sample-Efficient Reinforcement Learning for Nuclear Fusion
Abstract:
In many practical applications of reinforcement learning (RL), it is
expensive to observe state transitions from the environment. For
example, in the problem of plasma control for nuclear fusion,
determining the next state for a given state-action pair requires
querying an expensive transition function which can lead to many hours
of computer simulation or dollars of scientific research. Such expensive
data collection prohibits application of standard RL algorithms which
usually require a large number of observations to learn. In this
proposal, I address the problem of efficiently learning a policy from a
relatively modest number of observations. The first section leverages
ideas from Bayesian optimal experimental design to guide the selection
of state-action queries for efficient learning. The second presents work
which uses physical prior knowledge about the dynamics to more quickly
learn an accurate model. Then, I give a brief overview of plasma control
for nuclear fusion and comment on where I see opportunities for machine
learning to improve the state of the art for physicists and engineers. I
present initial work in this direction and give a plan for further
experiments controlling the rampdown and flattop phases of a plasma shot
both in simulation and on the DIII-D tokamak. Finally, I discuss my
timeline for a thesis defense and the projects I would like to
accomplish along the way.
Thesis Committee Members:
Jeff Schneider, Chair
Deepak Pathak
David Held
Stefano Ermon, Stanford University
Mark D. Boyer, Princeton Plasma Physics Laboratory
A copy of the thesis proposal document is available at:
virajm.com/thesis_proposal.pdf <http://virajm.com/thesis_proposal.pdf>
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