Which of the following gives the better final performance?

Reinforcement Learning - Quiz(MCQ)

SARSA

Can Not Say

None of the above

Correct Answer : QL

Explanation : Q-learning (QL) gives a better final performance.

Recently Updated in Reinforcement Learning Questions

Gamma (Î³) in the bellman equation is known as?

Value factor

Discount factor

Environment factor

None of the above

Correct Answer : Discount factor

Explanation : Gamma (γ) in the bellman equation is known as the Discount factor.

How do you represent the agent state in reinforcement learning?

Markov state

Discount state

Discount factor

None of the above

Correct Answer : Markov state

Explanation : Represent the agent state in reinforcement learning Markov state.

P[St+1 | St ] = P[St +1 | S1,......, St], in this condition
What is the meaning of St?

State factor

Markov state

Discount factor

None of the above

Correct Answer : Markov state

Explaination : P[St+1 | St ] = P[St +1 | S1,......, St], in the following condition St represents the Markov state.

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