Editing revision 6 of RougeDC/MovementLab

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Well, as a parallel to [[RougeDC/TargetingLab]], here's the movement lab.

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[[WaveSurfingChallenge2K6]]
| '''RR Version''' | '''MC Version''' | '''Bot A''' | '''Bot B''' | '''Bot C''' | '''Total''' | '''Comment'''
| Gamma4 | MC01 | 96.22 | 98.18 | 97.53 | '''97.31'''  | 1 season (500 Rounds)
|                | MC03 | 99.94 | 98.33 | 95.98 | '''98.08'''  | 1 season (500 Rounds)
|                | MC04 | 100.00 | 98.72 | 96.58 | '''98.43'''  | 1 season (500 Rounds)

[[MovementChallenge2K7/ResultsFastLearning]]
| '''RR Version''' | '''MC Version''' | '''HOF''' | '''SPL''' | '''GRG''' | '''Sub 1''' | '''WAY (Sub 2)''' | '''GR3''' | '''RKM''' | '''Sub 3''' | '''ASC''' | '''CC''' | '''CHK''' | '''Sub 4''' | '''Total''' | '''Comments'''
| Alpha12 |            | 99.85 | 84.95 | 87.93 | '''90.91''' | '''65.80''' | 72.81 | 76.26 | '''74.54''' | 29.26 | 37.74 | 37.49 | '''34.83''' | '''66.52''' | 31.0 seasons
| Alpha13 |            | 99.70 | 85.87 | 90.58 | '''92.05''' | '''66.35''' | 73.17 | 76.61 | '''74.89''' | 31.28 | 41.07 | 40.58 | '''37.64''' | '''67.73''' | 31.0 seasons
| Alpha14 |            | 99.81 | 87.45 | 91.45 | '''92.90''' | '''67.68''' | 72.74 | 78.37 | '''75.55''' | 28.80 | 39.62 | 38.00 | '''35.47''' | '''67.90''' | 45.0 seasons
| Alpha15 |            | 99.70 | 85.91 | 91.53 | '''92.38''' | '''66.31''' | 72.88 | 77.88 | '''75.38''' | 32.18 | 40.19 | 39.11 | '''37.16''' | '''67.81''' | 45.0 seasons
| Gamma4 | MC01 | 99.83 | 85.55 | 92.07 | '''92.48''' | '''68.29''' | 72.74 | 79.32 | '''76.03''' | 30.83 | 38.73 | 37.33 | '''35.63''' | '''68.11''' | 34.0 seasons
|                | MC03 | 99.93 | 85.25 | 90.46 | '''91.88''' | '''65.71''' | 71.99 | 78.99 | '''75.49''' | 25.78 | 37.35 | 33.67 | '''32.27''' | '''66.34''' | 47.0 seasons
|                | MC04 | 99.37 | 86.45 | 90.01 | '''91.94''' | '''65.70''' | 72.90 | 77.96 | '''75.43''' | 26.03 | 35.21 | 32.83 | '''31.36''' | '''66.11''' | 50.0 seasons
|                | MC05 | 99.88 | 85.56 | 91.67 | '''92.37''' | '''66.60''' | 72.29 | 79.19 | '''75.74''' | 27.40 | 37.25 | 32.56 | '''32.40''' | '''66.78''' | 29.0 seasons
|                | MC06 | 99.79 | 86.61 | 92.03 | '''92.81''' | '''67.68''' | 72.24 | 78.63 | '''75.43''' | 26.14 | 37.47 | 34.68 | '''32.76''' | '''67.17''' | 30.0 seasons

'''Version History:'''
* '''MC01:''' The same as the movement in RougeDC Gamma4. While I didn't change the movement since Alpha15, there was a score increase, probably from a bugfix I made in my generic wave code somewhere along the way.
* '''MC02:''' Trying an all new surfing algorithm that I think should handle all waves better. Still needs work, the results were not worth recording even.
* '''MC03:''' The same all new surfing algorithm as in MC02, however using the old danger formula from MC01, and works far better than MC02. It still performs worse than MC01 for the most part though, interestingly though, it gets a HOF score among the very highest there is. To me this indicates that it's better quality surfing but that the danger formula needs work to tune it to it probably...
* '''MC04:''' Some tweaks to the danger formula. Seems to help some though the Bot C performance still isn't great.
* '''MC05:''' Remove all but one tweak to the danger formula (making it pickier about how far away the DC match is). Bah... still a lot of work needed...
* '''MC06:''' Change cluster size to 10 (from 20). Seems to have a nice effect overall.

=== Discussion ===

Gahhh.... even though MC04 didn't hurt head-on performance according to WSC2K6, it's HOF performance took a major nosedive in MC2K7. The changes there were helpful to the [[Splinter]] and [[GrubbmThree]] performance but not much else. The surfer performance could surely be helped a great deal by a flattener, but I should first get my scores in "Sub 1" and "Sub3" up to decent levels I think... -- [[Rednaxela]]

Haha! The upcoming MC07 adds a NeuralNetwork to the mix, and results so far seem to show it as an improvement. What could it possibly offer a DC surfing? Well, The way I see it, normal DynamicClustering, is far from optimal against simple linear-targeting. The problem, is that for it to be accurate, it needs an awful lot of data samples (at least one at just about any velocity you may expect to be moving at) to produce good results, and it's inherently incapable of making guesses at gf values it has not seen before. Well, to solve that I added a simple back-propagation net. It's designed to find general trends in how the segment data tends to affect the guessfactor. Instead of just weighting results from DC lower when the situation is further from the current situation, I also use the neural net to reposition the guessfactors that the DC spits out, to be more relevant to the current situation. Wow... my bot is really tending to hybridize things all over the place. Actually, I find hybridizing far more pleasant than tuning, it's both more interesting and seems to get me results quicker. My targeting is DC/PM and my surfing is now DC/NN. I think this could likely be the first high ranking bot that uses both DC, PM, and NN learning/prediction techniques. Anyways, I'll post the MC07 results when I have 30 seasons I think. I think there's certainly room for improvement in the neural net though, such as trying out my [[Rednaxela/MultiplePlaneRegressionClustering|"multiple plane regression clustering"]] idea to cluster multiple neural nets in order to more accurately model multi-mode targeters. -- [[Rednaxela]]

Summary:
Consciousness check: 10 + 7 =
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