Revision as of 16:56, 17 June 2024

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AIOP - Polarized Photon Source

Agenda:

Previous Meeting
Announcements
Project Progress
ML Activities
AOT

Minutes

AIOP Special Friday Meeting Notes

We should decide on a single framework for both projects

Armen has made some nice slides over this repo: SciOptControl Toolkit

Patrick’s questions:

How do we handle using a sparse data set in the offline/online environments?

Malachi — if we have a physical model, we can calibrate with historical data, then we can create the surrogate that we can wrap in openAI gym

Malachi suggests a white board meeting which is a good idea

We can try toy problems with different environments in openAI gymnasium

DS group really needs dataset summaries for each run period

David — there is a natural time scale for this, every measurement we take of the polarization is not necessarily incredibly accurate. Can we use information from more than 1 time step back? Do you have to give it a characteristic time scale or can it figure that out in the training process? Armen had an answer for this I just don't have what it was -- I think it is configurable though

Action Items

Placeholder

Milestones!

Identify relevant parameters
Identify nudge events
Shapley analysis!

@@ Line 65: / Line 65: @@
 === Minutes ===
-<!-- Attendees: Torri J., Thomas B., David L., Patrick M., Armen K. -->
+<!-- Attendees: Torri J., David L., Patrick M., Armen K., Jiawei G., Malachi S. -->
+<h1>AIOP Special Friday Meeting Notes</h1>
+    <p>We should decide on a single framework for both projects</p>
+    <p>Armen has made some nice slides over this repo: [https://github.com/jeffersonlab/scioptcontroltoolkit SciOptControl Toolkit]</p>
+    <p class="question">Patrick’s questions:</p>
+    <p class="note">How do we handle using a sparse data set in the offline/online environments?</p>
+    <p class="note">Malachi — if we have a physical model, we can calibrate with historical data, then we can create the surrogate that we can wrap in openAI gym</p>
+    <p>Malachi suggests a white board meeting which is a good idea</p>
+    <p>We can try toy problems with different environments in openAI gymnasium</p>
+    <p>DS group really needs dataset summaries for each run period</p>
+    <p>David — there is a natural time scale for this, every measurement we take of the polarization is not necessarily incredibly accurate. Can we use information from more than 1 time step back? Do you have to give it a characteristic time scale or can it figure that out in the training process?  <b> Armen had an answer for this I just don't have what it was -- I think it is configurable though </b></p>

Difference between revisions of "AIOP Jun. 7, 2024"