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Identifying the Agent in a Game-Playing AI
Based on the scenario described, identify the 'agent' in this learning system and justify your answer by explaining how it performs the core functions of a learner and decision-maker.
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Data Science
Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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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 the next session. In this learning system, what component is the 'agent'?
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.