Difference between revisions of "Thread:User talk:Dsekercioglu/Thoughts on targeting/Will TimeSince attributes help against direction based random movement?/reply (2)"
Dsekercioglu (talk | contribs) |
Dsekercioglu (talk | contribs) m (Added a note) |
||
| Line 15: | Line 15: | ||
</pre> | </pre> | ||
After 150th round I started to get values similar to this one which means it makes a difference for WhiteFang. It might be the 1 / (1 + 0.1 * x) formula I am using. | After 150th round I started to get values similar to this one which means it makes a difference for WhiteFang. It might be the 1 / (1 + 0.1 * x) formula I am using. | ||
| + | |||
| + | Edit: To make a fair comparison I tried this with both all weights 1 and my normal weights. | ||
Latest revision as of 12:45, 20 March 2019
My scores had improved a lot back then when I boosted Time Since Decel's weight on the Easy part of TCRM. I thought it would be correlated because if you are changing directions every tick with the probability of x you would basically be changing directions around 1/x ticks. Let me check again... . The double Time Since Decel version did a little better(0.02) which is probably just noise. I am going to look at the profile... I am not getting flat profiles here. When I try 11 different time since deceleration from 0 to 1, values of the Guess Factors are like:
45 45 45 45 45 45 30 30 42 21 42
After 150th round I started to get values similar to this one which means it makes a difference for WhiteFang. It might be the 1 / (1 + 0.1 * x) formula I am using.
Edit: To make a fair comparison I tried this with both all weights 1 and my normal weights.
