1. Explain how Q-learning fits in with the agent architecture of Section 2.2.1. Suppose that the Qlearning...
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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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Artificial Intelligence Foundations Of Computational Agents
ISBN: 9781107195394
2nd Edition
Authors: David L. Poole, Alan K. Mackworth
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