AgentSmith/Wolfmans Todo List

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) - DONE - but performance decreased. Needs investigating
• Factor in distance from the best match when deciding what angle to shoot at based on our K nearest matches. - DONE
• 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. - Dynamic weighting removed. Needs more thinking.
• Add in really quick and dirty random movement
• Release into the rumble
• Calculate MEA using Precise Prediction and Wall Smoothing

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