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Chukwudi
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11 votes
1 answer
3k views

What exactly is the advantage of double DQN over DQN?

4 votes
1 answer
690 views

Why do DQNs tend to forget?

3 votes
2 answers
209 views

Why is it not advisable to have a 100 percent exploration rate? [duplicate]

2 votes
1 answer
82 views

Why isn't it wise for us to completely erase our old Q value and replace it with the calculated Q value?

2 votes
1 answer
495 views

Why is 100% exploration bad during the learning stage in reinforcement learning?

2 votes
1 answer
132 views

What is the advantage of using experience replay (as opposed to feeding it sequential data)?

2 votes
0 answers
97 views

What happens if our target network overestimates the value?

2 votes
0 answers
188 views

How can deep Q-learning converge if the targets may not be correct?

1 vote
2 answers
145 views

Why can't we fully exploit the environment after the first episode in Q-learning?

1 vote
1 answer
232 views

What would happen if we sampled only one tuple from the experience replay?

1 vote
2 answers
62 views

Why do we explore after we have an accurate estimate of the value function?

1 vote
1 answer
71 views

How to deal with the addition of a new state to the environment during training?

1 vote
1 answer
192 views

Why do we update the weights of the target network in deep Q learning?

0 votes
2 answers
328 views

When we use a neural network to approximate the Q values, is the Q target a single value?