Agent
An agent connects observations, decisions, actions, and feedback. DreamerV3 learns a policy using trajectories imagined by its learned environment model, then acts in the evaluated environment.
Why it matters
A world model supplies predictions; the agent’s policy uses them to choose behavior. This distinction prevents treating a predictor as a complete autonomous system.
Relationships
plans withPlanner → Agentacts throughAgent → Physical AI