Environment is the external context in which an agent or system operates, providing inputs and responding to actions, a central concept in robotics and reinforcement learning.
Semantic Classification
Content
- In reinforcement learning, the environment is everything outside the agent; it receives the agent’s actions and returns observations and rewards, defining the dynamics the agent must learn to act within.
- In robotics, the environment is the physical surroundings a robot perceives and moves through, which may be structured, such as a factory, or unstructured, such as a household, affecting perception and planning difficulty.