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Inverting the Bellman Equation: From $Q$-Values to World Models
Value-based agents trained on diverse reward functions implicitly encode world models, extractable via P-learning, with sufficient conditions for exact dynamics recovery and cross-goal generalization.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 3/5