| # 🛸 Orbit Wars v12 — Full-Spectrum Domination Agent |
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| **For the [Orbit Wars Kaggle Competition](https://www.kaggle.com/competitions/orbit-wars)** |
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| ## Test Results |
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| | Matchup | Result | |
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| | 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 3× V10 (4-player) | **3/3 wins** (eliminated all 3 every game) | |
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| ## How to Submit |
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| 1. Download `submission.py` |
| 2. Create a new Kaggle notebook |
| 3. Copy the content into the notebook |
| 4. Submit |
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| ## Architecture |
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| Built from v10/v11 base + every technique from 1200+ Elo public agents: |
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| 1. **110-turn Forward Timeline Simulation** — binary-search exact keep_needed |
| 2. **Surplus-based dispatching** — 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, ±2 turn sync) |
| 5. **Snipe detection** — arrive at neutrals right after enemy fleet battles |
| 6. **Crash exploit** — arrive after inter-enemy fleet collisions (4P) |
| 7. **Hostile reinforcement prediction** — estimate enemy can reinforce target |
| 8. **Doomed planet evacuation** — save ships from unsaveable planets |
| 9. **Exposed planet detection** — 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 × 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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