Agent-Environment Interaction | Estateplanning | Vibepedia.Network

Agent-environment interaction is the core concept in reinforcement learning, describing how an AI agent perceives its surroundings, makes decisions, and acts upon them. This continuous cycle of perception, processing, and action allows agents to learn and adapt to achieve specific goals.