Progress for week 9 (2015)

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=== Accounting ===
=== Accounting ===
-
 
+
* Ran tests
 +
** crossover - similar results (have yet to test with baldwinian ls)
 +
** 50 iterations - seems to perform worse than 20
 +
* Started testing on environment with obstacles or low friction, but ran into a yaml problem yet to be fixed
 +
* Started setting up real robot and mocap system, but cannot open .bbp file in viewer
 +
* 20-ish pages
== Bendik ==
== Bendik ==

Revision as of 13:40, 3 March 2015

Contents

Student template (copy this for your entry)

Budget

  • Todo 1
  • Todo 2

Accounting

  • Done 1
  • Done 2

Stian

Budget

  • Finish robust NSGA2 objective function tests
    • Start some longer runs on some of the (mostly) unused combinations and compare.
  • Finish training set size tests
  • Complete GA background chapter.
  • Write about algorithms used.

Accounting

  • Created several Matlab helper functions for extracting and comparing results.
  • Short runs on objective functions completed. Need to do longer runs to draw conclusions.
  • Finished initial multi-run trainingset size tests.
  • Wrote about algorithm evaluation, datasets, multiobjective optimization and some notes on results.

Eivind

Budget

  • Plan and draw the layout for the base of the main robot.
  • Finish up the control program
  • Write at least 5 pages

Accounting

Else-Line

Budget

  • Run tests
    • with crossover
    • scale up number of generations for learning?
    • with obstacles?
    • on quadratot?
  • 25 pages

Accounting

  • Ran tests
    • crossover - similar results (have yet to test with baldwinian ls)
    • 50 iterations - seems to perform worse than 20
  • Started testing on environment with obstacles or low friction, but ran into a yaml problem yet to be fixed
  • Started setting up real robot and mocap system, but cannot open .bbp file in viewer
  • 20-ish pages

Bendik

Budget

  • Research and implement GOAP
  • Write a few pages about GOAP
  • Improve Eurobot test framework

Snorre

Budget

Accounting

  • Written more on the Background and Project chapters
  • Evolved new solutions using a transferability function
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