Move acrobot monte carlo simulation out of dev #14522
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a discussion (no related file): |
ggould-tri
added
priority: low
type: feature request
type: TRI anzu wishlist
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+(priority: low) +(type: feature request) +(type: TRI anzu wishlist)
Reviewable status: 1 unresolved discussion, needs platform reviewer assigned, needs at least two assigned reviewers
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+@rpoyner-tri for feature review (last person to touch this directory not involved in writing this code)
Note: This code is moving out of dev and has not had Drake review; please expand and review each moved (non-BUILD) file as-new.
Reviewable status: LGTM missing from assignee rpoyner-tri(platform), needs at least two assigned reviewers (waiting on @rpoyner-tri)
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With the new stuff coming in, I'd like to advocate for a |
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For informational purposes, you can be informed by https://github.com/ggould-tri/drake/blob/acrobot_monte_carlo_dedev_2/examples/acrobot/README.md as a draft README. That README is long enough that I don't want to include in this PR, and also it needs a bit more polish. |
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Reviewed 10 of 10 files at r1.
Reviewable status: LGTM missing from assignee sammy-tri(platform) (waiting on @sammy-tri)
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* Toward RobotLocomotion#13904 * This is the infrastructure to run monte carlo simulations of the acrobot under Spong control. * This is an example of how to use the stochastic schema mechanism for monte carlo testing * A subsequent PR will bring in an example of using this along with an optimizer to learn controller parameters (that code remains in dev in this PR)
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Making super-slow progress on this due to higher priority items being added to my queue today. Will resume tomorrow if I don't manage to finish tonight.
Reviewed 4 of 10 files at r1.
Reviewable status: LGTM missing from assignee sammy-tri(platform) (waiting on @rpoyner-tri)
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Reviewed 1 of 1 files at r2.
Reviewable status: LGTM missing from assignee sammy-tri(platform)
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No worries; that's why I marked it low priority :-)
Reviewable status: LGTM missing from assignee sammy-tri(platform)
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Reviewed 5 of 10 files at r1, 1 of 1 files at r2.
Reviewable status:complete! all discussions resolved, LGTM from assignees rpoyner-tri(platform),sammy-tri(platform)
* Toward RobotLocomotion#13904 * This is the infrastructure to run monte carlo simulations of the acrobot under Spong control. * This is an example of how to use the stochastic schema mechanism for monte carlo testing * A subsequent PR will bring in an example of using this along with an optimizer to learn controller parameters (that code remains in dev in this PR)
of the acrobot under Spong control.
mechanism for monte carlo testing
with an optimizer to learn controller parameters (that code
remains in dev in this PR)
This change is