Get ready for the GARP Risk and AI Exam with flashcards and multiple choice questions. Each question comes with hints and explanations. Prepare for success!

Multiple Choice

At each step, the agent has possible options called?

At each step, the agent chooses from a set of possible moves called actions. This action space defines the options the agent can take given what it perceives about the environment. States describe the situation the agent observes, and rewards are the feedback signals it receives after taking an action to guide learning. A policy is the rule or mapping that tells the agent which action to take in each state. So actions are the correct concept here because they are precisely the choices available to the agent at that moment.

At each step, the agent chooses from a set of possible moves called actions. This action space defines the options the agent can take given what it perceives about the environment. States describe the situation the agent observes, and rewards are the feedback signals it receives after taking an action to guide learning. A policy is the rule or mapping that tells the agent which action to take in each state. So actions are the correct concept here because they are precisely the choices available to the agent at that moment.