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πŸ›Έ Orbit Wars v12 β€” Full-Spectrum Domination Agent

For the Orbit Wars Kaggle Competition

Test Results

Matchup Result
V12 vs Random 3/3 wins (eliminated by step ~90-99)
V12 vs Starter 3/3 wins (eliminated by step ~73-159)
V12 vs V10 (1v1, alternating sides) 5/6 wins (83%)
V12 vs 3Γ— V10 (4-player) 3/3 wins (eliminated all 3 every game)

How to Submit

  1. Download submission.py
  2. Create a new Kaggle notebook
  3. Copy the content into the notebook
  4. Submit

Architecture

Built from v10/v11 base + every technique from 1200+ Elo public agents:

  1. 110-turn Forward Timeline Simulation β€” binary-search exact keep_needed
  2. Surplus-based dispatching β€” send EVERYTHING above keep_needed
  3. 7-mission priority system: reinforce > crash_exploit > capture > snipe > swarm
  4. Multi-source coordinated swarm attacks (2/3 sources, Β±2 turn sync)
  5. Snipe detection β€” arrive at neutrals right after enemy fleet battles
  6. Crash exploit β€” arrive after inter-enemy fleet collisions (4P)
  7. Hostile reinforcement prediction β€” estimate enemy can reinforce target
  8. Doomed planet evacuation β€” save ships from unsaveable planets
  9. Exposed planet detection β€” attack enemies who just launched fleets
  10. Dynamic game phases with domination tracking
  11. Weakest enemy targeting with elimination bonus (4P)
  12. Production snowball scoring: score = prod Γ— remaining_turns / cost
  13. Proactive defense with stacked multi-enemy threat detection
  14. Sun-aware fleet routing with iterative intercept solver
  15. Indirect wealth valuation (cluster bonus from nearby planets)
  16. Endgame consolidation to highest-production planets
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