Question: 1. Explain how Q-learning fits in with the agent architecture of Section 2.2.1. Suppose that the Qlearning agent has discount factor , a step size

1. Explain how Q-learning fits in with the agent architecture of Section 2.2.1. Suppose that the Qlearning agent has discount factor γ, a step size of α, and is carrying out an ϵ-greedy exploration strategy.

(a) What are the components of the belief state of the Q-learning agent?

(b) What are the percepts?

(c) What is the command function of the Q-learning agent?

(d) What is the belief-state transition function of the Q-learning agent?

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