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Artificial Intelligence
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calveeen
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16 Answers

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4 votes

What is the target Q-value in DQNs?

3 votes
Accepted

Do all expert trajectories have the same starting state in apprenticeship learning?

3 votes
Accepted

Why does Monte Carlo policy evaluation relies on action-value function rather than state-value function?

2 votes

Why does the definition of the reward function $r(s, a, s')$ involve the term $p(s' \mid s, a)$?

2 votes

Can recovering a reward function using IRL lead to better policies compared to reward shaping?

1 vote

Why a single trajectory can be used to update the policy network $\theta$ in A3C?

1 vote

Why is the hypothesis function $h_{\theta}(x)$ equivalent to $E[y | x; \theta]$ in generalised linear models?

1 vote
Accepted

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

1 vote
Accepted

Why do we need to have two heads in D3QN to obtain value and advantage separately, if V is the average of Q values?

1 vote

Why do we minimise the loss between the target Q values and 'local' Q values?

1 vote
Accepted

Optimal mixed strategy in two player zero sum games

0 votes

In variational autoencoders, what does p(x|z) mean?

0 votes

How can I use autoencoders to analyze patterns and classify them?

0 votes
Accepted

How does batch normalisation actually work?

0 votes

Does the substituted variable/constant have to appear in the unified term?

0 votes

How does the gradient increase the probabilities of the path with a positive reward in policy gradient?

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