En aprendizaje por refuerzo, el entorno es el mundo, simulación, sistema o contexto de tarea con el que interactúa un agente. Proporciona observaciones o estados, recibe acciones del agente y transiciona a nuevos estados según su dinámica.
In reinforcement learning, the world that contains the agent and allows the agent to observe that world's state. For example, the represented world can be a game like chess, or a physical world like a maze. When the agent applies an action to the environment, then the environment transitions between states.
In reinforcement learning, the world that contains the agent and allows the agent to observe that world's state. For example, the represented world can be a game like chess, or a physical world like a maze. When the agent applies an action to the environment, then the environment transitions between states.