The four learning paradigms behind a world model
23 June 2026 · Risto Anton Päärni · Helsinki, Finland
Companion to the three-piece loop. A world model for control rooms is not one model. It is four learning paradigms, each doing a different job.
Generative models build the simulator. Reward learning
refines it. Reinforcement learning deploys an agent into
it. Self-supervised learning compresses the raw signal so the other three
can work.
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