Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants
arXiv 2609.13194v1•d902a6425e3580964f04adf069109f2df134df8afcc325db65e504cb768d4cda
Paper metadata
- arXiv ID
- 2609.13194
- Version
- v1
- Category
- cs.AI, cs.LG
- Authors
- Tesfay Zemuy Gebrekidan, Hadush Hailu Gebrerufael
- Publication date
- 2026-09-15T04:00:00Z
- Source identifier
- 2609.13194v1
- Public record ID
- record:sha256:d902a6425e3580964f04adf069109f2df134df8afcc325db65e504cb768d4cda
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- d902a6425e3580964f04adf069109f2df134df8afcc325db65e504cb768d4cda
- Record type
- Source metadata
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