What is reinforcement learning? - Neural Networks Quiz

Neural Networks - Quiz(MCQ)

What is reinforcement learning?

learning is based on evaluative signal

learning is based o desired output for an input

learning is based on both desired output & evaluative signal

None of the Above

Correct Answer : learning is based on evaluative signal

Explanation : Reinforcement learning is based on evaluative signal.

Recently Updated in Neural Networks Questions

A greater value of 'p' the vigilance parameter leads to?

No change

Bigger clusters

Small clusters

None of the above

Correct Answer : Small clusters

Explanation : Input samples associated with same neuron get reduced.

What type of inputs does ART â€“ 1 receives?

binary

bipolar

both bipolar and binary

none of the above

Correct Answer : binary

Explanation : Adaptive resonance theory take care of stability plasticity dilemma.

What does vigilance parameter in ART determines?

Number of desired outputs

Number of possible outputs

Number of acceptable inputs

None of the above

Correct Answer : None of the above

Explanation : Vigilance parameter in ART determines the tolerance of matching process.

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