Two reward hacking behaviours observed during Wave 4 training:
1. Short-lap circle exploit (reported by user, echoes Toni's guardrail hack):
Model circles at start/finish line completing laps in 1-2 sim-seconds,
accumulating lap_count indefinitely with no genuine track progress.
Fix: SpeedRewardWrapper detects lap_count increment; if last_lap_time
< min_lap_time (5.0s), returns penalty = -10 × (min_lap_time / lap_time).
A 1-second lap gives -50 penalty. Legitimate 12-second laps unaffected.
Window size also increased from 30 → 60 to catch slower circles.
2. Non-terminating segment eval episodes:
evaluate_policy on wide tracks (no barriers) could run indefinitely,
inflating segment_reward to 200k+. Replaced with manual eval loop
capped at MAX_EVAL_STEPS=3000 steps.
Phase 4 results cleared (trials 4-6 ran with exploitable reward).
Tests: 4 new reward wrapper tests, 100 total passing.
Agent: pi
Tests: 100 passed
Tests-Added: 4
TypeScript: N/A
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