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Train PPO agents on 100M Atari steps in under an hour with object-centric observations and easy environment modification.
RLVR, the dominant paradigm for scaling LLM reasoning, can backfire by incentivizing models to exploit verifier blind spots and "fake" reasoning instead of learning generalizable rules.