BWhat changed
A deep reinforcement-learning controller produced and maintained multiple plasma configurations in physical experiments on the TCV tokamak.
Scientific scope
A deep reinforcement-learning controller produced and maintained multiple plasma configurations in physical experiments on the TCV tokamak. Scope limitation: Human teams supplied the facility, simulation, objectives and experimental validation. Plasma-shape control does not establish fusion energy breakeven or a working power plant.
Evidence
Assessment uses the catalogue-linked source evidence for the stated contribution. Human teams supplied the facility, simulation, objectives and experimental validation. Plasma-shape control does not establish fusion energy breakeven or a working power plant.
Contributors
- The research collaboration listed in the linked record and source byline · SCIENCE: Collective scoped contribution. The complete recorded byline remains in the research record; this label does not collapse people into one individual.
- The systems documented in the research record · EXECUTION: Source-reported system assistance within this scope; no provider attestation or independent agency is inferred.
- Magnetic control of tokamak plasmas through deep reinforcement learning
- Magnetic control of tokamak plasmas through deep reinforcement learning — deposited bibliography
- Full original plasma-control paper
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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