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GoingMyWay
  • Member for 7 years, 6 months
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  • Singapore
4 votes
4 answers
2k views

Reinforcement learning, question from Sutton's new book

0 votes
0 answers
255 views

In Bagging, how does one train the base learner?

3 votes
1 answer
329 views

Why the $\gamma^t$ is needed here in REINFORCE: Monte-Carlo Policy-Gradient Control (episodic) for $\pi_{*}$?

8 votes
3 answers
7k views

How can I understand REINFORCE with baseline is not a actor-critic algorithm?

10 votes
3 answers
31k views

What is the loss/cost function of decision trees?

0 votes
0 answers
249 views

Why we cannot computing the integral of P(x) in Bayesian Inference analytically? [duplicate]

1 vote
1 answer
252 views

N-step DQN question, confused by the termination states

2 votes
1 answer
980 views

Calculating Conditional Value at Risk given any distribution

0 votes
0 answers
41 views

Estimating CVaR for non-Gaussian distributions

2 votes
1 answer
350 views

Reinforcement Learning, why using data from behaviour policy can be used to optimise the target policy?

1 vote
1 answer
86 views

Reinforcement learning, is normalizing the reward should also change the learning rate?

3 votes
1 answer
466 views

For any distributions, are mean of the sum of the same distributions equals the sum of the means of the distributions?

1 vote
1 answer
402 views

Get the new variance of the data [duplicate]

1 vote
1 answer
80 views

Predicting an interval by deep learning or other machine learning methods

8 votes
1 answer
6k views

What are soft policies in reinforcement learning?

20 votes
2 answers
8k views

What is predicted and controlled in reinforcement Learning?

0 votes
0 answers
190 views

What are online learning and offline learning in the context of reinforcement learning? [duplicate]

9 votes
2 answers
13k views

How to distinguish episodic task and continuous tasks?

0 votes
1 answer
384 views

How can I calculate the variance of policy gradient method? [closed]

3 votes
1 answer
80 views

Reinforcement learning, how can I get the entropy of an distribution?

2 votes
1 answer
1k views

Reinforcement Learning, Policy iteration terminal state issue

1 vote
0 answers
254 views

Reinforcement learning, what are time-dependent MPDs?

1 vote
0 answers
140 views

Reinforcement Learning, understanding off-policy methods

1 vote
1 answer
583 views

Reinforcement leaning, what are bounded and ubounded action space mean?

3 votes
1 answer
1k views

What is the meaning of robustness in machine learning?

3 votes
1 answer
1k views

Model stacking, what is the input of meta classifier?

0 votes
0 answers
636 views

Stacking, How can I check the correlation of models?

1 vote
1 answer
66 views

What is the best way to process categorical variables?

3 votes
2 answers
132 views

Multiarmed-bandit problem, why can't we use brute force method to tackle this problem

1 vote
1 answer
289 views

Reinforcement learning, reward in skip frame