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Answer the following question? 1. Explain how the \( \varepsilon \)-greedy approach balances explo ...
Answer the following question? 1. Explain how the \( \varepsilon \)-greedy approach balances exploration and exploitation. 2. Explain how the incremental mean method in the utility mean update reduces the memory usage. 3. Explain the difference between the Monte-Carlo (MC) method and the Temporal-Difference (TD) method. 4. Explain how the temporal-difference (TD) method in the utility update reduces the memory usage. 5. Explain in what occasion the TD Q-value update might result different results under SARSA learning and Q-Learning, respectively.
Solution :- 1. Exploration allows an agent to improve its current knowledge about each action, hopefully leading to long-term benefit. Improving the accuracy of the estimated action-values, enables an agent to mak