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Chukwudi
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4 votes
1 answer
387 views

Why do DQNs tend to forget?

4 votes
1 answer
967 views

What exactly is the advantage of double DQN over DQN?

3 votes
2 answers
154 views

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

2 votes
1 answer
73 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
204 views

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

2 votes
1 answer
96 views

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

2 votes
0 answers
81 views

What happens if our target network overestimates the value?

2 votes
0 answers
82 views

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

1 vote
2 answers
115 views

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

1 vote
1 answer
157 views

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

1 vote
2 answers
61 views

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

1 vote
1 answer
53 views

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

1 vote
1 answer
126 views

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

0 votes
2 answers
202 views

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