Difference between revisions of "AgentSmith/Wolfmans Todo List"
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(Created page with " Short Term - Get the gun to a reasonable standard - add more segmentation - Weight normalised DC values for unbounded segments in a better manner (such as time-since values etc)...") |
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Short Term | Short Term | ||
| − | + | * Get the gun to a reasonable standard - add more segmentation | |
| − | + | * 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 | 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 | |
Revision as of 17:13, 18 March 2013
Short Term
- Get the gun to a reasonable standard - add more segmentation
- 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
