Diagnosing faults in reinforcement learning simulators and world models with canonical polynomial invariants
Read the original at arxiv.org→arXiv:2609.13194v1 Announce Type: new Abstract: A large literature builds physical structure into learned dynamics on the premise that models respecting the underlying physics predict better. We test that premise...
Original headline: "Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants"
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- Sep 15, 04:00 UTC arXiv cs.LG lead source Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants