Difference between revisions of "AIOP Jun. 7, 2024"
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<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> | <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> | ||
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==== Action Items ==== | ==== Action Items ==== | ||
Latest revision as of 17:13, 17 June 2024
The current weekly meeting time is every other Monday at 13:00 US/Eastern
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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!