My simulator said the change was worth 1.8x. On real hardware it was 1.05x (t=0.73). Some notes from deploying PPO against a live mobile game.
I trained a PPO agent to play an idle tower-defense mobile game — it decides which of 13 upgrades to buy each wave. No API and no memory access: observations come from OCR (tesseract plus per-glyph template matching) on the screen, and actions are real mouse clicks. It's been running against the li…
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- 2026-09-21 13:30 · r/reinforcementlearning
My simulator said the change was worth 1.8x. On real hardware it was 1.05x (t=0.73). Some notes from deploying PPO against a live mobile game.