Difference between revisions of "AgentSmith/Wolfmans Todo List"
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| parent = AgentSmith | | parent = AgentSmith | ||
| page1 = Version History | | page1 = Version History | ||
| − | | page2 = Wolfmans Todo List | + | | page2 = Challenge Results |
| + | | page3 = Wolfmans Todo List | ||
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Short Term | Short Term | ||
* Get the gun to a reasonable standard - add more segmentation | * Get the gun to a reasonable standard - add more segmentation | ||
| + | * Use targeting challenge results to tune gun | ||
* Weight normalised DC values for unbounded segments in a better manner (such as time-since values etc) | * Weight normalised DC values for unbounded segments in a better manner (such as time-since values etc) | ||
* Factor in distance from the best match when deciding what angle to shoot at based on our K nearest matches. | * Factor in distance from the best match when deciding what angle to shoot at based on our K nearest matches. | ||
Revision as of 17:25, 18 March 2013
- Agent Smith Sub-pages:
- AgentSmith - Version History - Challenge Results - Wolfmans Todo List
Short Term
- Get the gun to a reasonable standard - add more segmentation
- Use targeting challenge results to tune gun
- Weight normalised DC values for unbounded segments in a better manner (such as time-since values etc)
- Factor in distance from the best match when deciding what angle to shoot at based on our K nearest matches.
- Store dynamic DC weights per bot between matches to give the targeting a head start even if we don't store any of the tree.
- Add in really quick and dirty random movement
- Release into the rumble
Long Term
- Multiple gun modes chosen dynamically based on match state
- Anti-surfing DC gun mode
- Wave surfing movement
- Genetic algorithms to tune various constants in the bot
- Investigate storing small pre-populated data set for faster DC learning in a fresh match scenario
