A new automated vacuum cleaner is programmed to learn the most efficient path to clean a room. It uses its sensors to detect its current location, the position of furniture, and the amount of dirt on the floor. Based on this information, it chooses to move forward, turn left, or turn right. After each cleaning session, it receives a positive signal based on the total area cleaned and a negative signal for each time it bumps into an obstacle. It uses these signals to improve its cleaning path for

LLM as the Agent in RLHF

Identifying the Agent in a Game-Playing AI

Distinguishing System Components in a Learning Scenario

A self-driving car is being trained to navigate a city. Analyze the components of this system and match each component with its correct functional role in the learning process.