В обучении с подкреплением среда — это мир, симуляция, система или контекст задачи, с которым взаимодействует агент. Она предоставляет observations или states, получает действия от агента и переходит в новые состояния согласно своей динамике.
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.