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AI Opponent Implementation
ai-opponent
Implement or tune AI opponent behavior
SKILL.md
Full skill instructions
AI Opponent Implementation
Help implement or tune AI opponent logic per the game design.
AI Strategy (from design doc)
func chooseAcceleration(racer: Player, track: Track, opponents: [Player]) -> GridVector {
var bestScore = Int.min
var bestAccel = GridVector(0, 0)
for acceleration in allAccelerations {
let newPos = racer.position + racer.velocity + acceleration
let newVel = racer.velocity + acceleration
if wouldCrash(from: racer.position, to: newPos, track: track) {
score = -1000
} else {
score = progressTowardFinish(newPos, track.finishLine)
score -= distanceToTrackCenter(newPos, track) * 0.1
score -= speed(newVel) * 0.05 // Prefer control
}
if score > bestScore {
bestScore = score
bestAccel = acceleration
}
}
return bestAccel
}
Difficulty Levels
| Level | Behavior |
|---|---|
| Easy | Random valid moves, avoids crashes |
| Medium | Greedy progress toward finish |
| Hard | Looks 2-3 moves ahead, blocks opponents |
Implementation Tasks
- Basic AI: Avoid crashes, prefer forward progress
- Path scoring: Evaluate each of 9 options
- Lookahead: Simulate N turns ahead (Hard mode)
- Opponent awareness: Block or avoid collisions
- Track awareness: Prefer center of track
Testing
- AI should never choose crash moves when safe options exist
- Easy AI should lose to competent player
- Hard AI should provide challenge
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