Difference between revisions of "ScalarN/Version History"
< ScalarN
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m (roborumble rank) |
m (rank) |
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* {{ScalarNVersion|version=0.011c|date={{date|2018|09|02}}}} | * {{ScalarNVersion|version=0.011c|date={{date|2018|09|02}}}} | ||
| − | ** '''{{RumbleStatsDefault|link=http://literumble.appspot.com/BotDetails?game=roborumble&name=aaa.n.ScalarN%200.011c|rumble=RoboRumble|scorelabel=APS|score=84. | + | ** '''{{RumbleStatsDefault|link=http://literumble.appspot.com/BotDetails?game=roborumble&name=aaa.n.ScalarN%200.011c|rumble=RoboRumble|scorelabel=APS|score=84.72|rank=25th|win=1118|loss=37|plrank=34th|glicko2=N/A|pwin=96.8|vote=11.12|anpp=89.02|score2label=Survival|score2=89.72}}''' |
** 1v1 release | ** 1v1 release | ||
*** delay pif waves until hit | *** delay pif waves until hit | ||
Revision as of 15:49, 3 September 2018
- 0.011c (September 02, 2018)
- RoboRumble ‒ APS: 84.72% (25th), PL: 1118-37 (34th), Survival: 89.72%
- 1v1 release
- delay pif waves until hit
- update waves on new bullet recorded
- detect wall damage in 1v1 and melee
- 0.011a (August 29, 2018)
- MeleeRumble ‒ APS: 71.36% (3rd), PL: 400-4 (5th), Survival: 64.98%
- use Manhattan distance in gun
- 0.011 (August 28, 2018)
- MeleeRumble ‒ APS: 71.23% (3rd), PL: 400-4 (5th), Survival: 64.06%
- State-of-the-art wall hit avoidance (best used together with wall smoothing)
- Use intersect distance instead of current distance in melee surfing
- Wave Surfing in 1v1
- 0.01 (August 26, 2018)
- MeleeRumble ‒ APS: 70.29% (3rd), PL: 395-9 (10th), Survival: 45.97%
- Initial release
- 0.01 phase 4 (August 26, 2018 – August 26, 2018)
- Melee movement between minimal risk and wave surfing (surfing hot yet)
- 0.01 phase 3 (August 20, 2018 – August 26, 2018)
- 0.01 phase 2 (August 03, 2018 – August 05, 2018)
- Simple minimal risk movement influenced by Neuromancer, Firestarter, Diamond and HawkOnFire and more bots.
- 0.01 phase 1 (July 20, 2018 – August 03, 2018)
- State-of-the-art melee radar that maximizes scan rate
- Unified design for melee and duel
- Graceful handling of out-ranged robot, supporting even 5000x5000 battle field!
- State-of-the-art melee radar that maximizes scan rate
- 0.01 phase 0 (July 09, 2018 – August 19, 2018)
- Bot Development Framework
- Lightweight Log4j style logging for robot and corresponding Intellij plugin
- BaseRobot — AdvancedRobot alternative, decoupling bot implementation from robocode
- Subject/Listener style component communication, and bind together automatically via ListenerRegister module!
- Fully redesigned Unit module that provides a unified model for all robots in battlefield
- Math and Data Structures
- 2D vector library V inspired by PyTorch; Math library U that unifies math/geom API.
- Primitive Collections Framework that feels the same as JCF but much faster and compact for primitives.
- Brand new Xor's KdTree.
- Bot Development Framework
