Question

In general, to guarantee the convergence of Q-Learning to optimal Q-values... It is necessary that every state-action pair is visited infinitely often. It is necessary that the learning rate α (weight given to new samples) is decreased to 0 over time It is necessary that the discount γ is less than 0.5. It is necessary that actions get chosen according to argmaxaQ(s,a)

Name: in general to guarantee the convergence of q learning to optimal q values it is necessary that every state action pair is visited infinitely often it is necessary that the learning rate weig 16988
Uploaded: 2021-12-09T12:48:23-08:00
Duration: 1 min 25 s
Channel: Md.Daniyal Arshad
Description: in general to guarantee the convergence of q learning to optimal q values it is necessary that every state action pair is visited infinitely often it is necessary that the learning rate weig 16988

          In general, to guarantee the convergence of Q-Learning to optimal Q-values...
It is necessary that every state-action pair is visited infinitely often.
It is necessary that the learning rate α (weight given to new samples) is decreased to 0 over time
It is necessary that the discount γ is less than 0.5.
It is necessary that actions get chosen according to argmaxaQ(s,a)

Added by Lourdes B.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Md.Daniyal Arshad

12/09/2021

Step 1

Q-Learning is a model-free reinforcement learning algorithm that aims to learn the optimal action-value function (Q-values) for a given environment. Show more…

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In general, to guarantee the convergence of Q-Learning to optimal Q-values... It is necessary that every state-action pair is visited infinitely often. It is necessary that the learning rate α (weight given to new samples) is decreased to 0 over time It is necessary that the discount γ is less than 0.5. It is necessary that actions get chosen according to argmaxaQ(s,a)