Dyna

Dyna is a term used in multiple domains. In computer science and artificial intelligence, Dyna is a reinforcement learning framework proposed by Richard S. Sutton in the early 1990s. The name reflects its dynamic integration of learning, planning, and acting.

The core idea of Dyna is to maintain a model of the environment from real interactions and use that model to generate simulated experiences. These imagined transitions are used to update value estimates and policies alongside updates from real experiences. Dyna blends model-free learning with model-based planning, aiming to increase data efficiency and accelerate learning in complex environments. Variants and implementations have influenced subsequent planning and dream-based RL approaches, and the Dyna concept remains a teaching example of integrated learning and planning.

Beyond AI, Dyna also appears as a brand name or product line in various industries, including consumer electronics and vehicles, and as a proper noun in fictional or cultural contexts. Because it is a short, widely used term, it can refer to many domain-specific entities, so the intended meaning is often clarified by context or accompanying qualifiers.