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0 votes
1 answer
580 views

large variance from inverse probability weighting (inverse propensity score)

I heard if the observed data that will be used in the inverse probability weighting method is too small, the estimator based on the weighting will have a large variance. Could you explain why that is …
Hunnam 's user avatar
  • 155
0 votes
1 answer
64 views

way to transform reinforcement learning problems to bandit problems

I wonder what a general way looks like to transform reinforcement learning problems to bandit problems (especially contextual bandit problems) Thank you!
Hunnam 's user avatar
  • 155
1 vote
0 answers
231 views

off-policy evaluation in reinforcement learning

IPS estimator, which is used for off-policy evaluation in a contextual bandit problem, is well explained here: Doubly Robust Policy Evaluation andOptimization https://arxiv.org/pdf/1503.02834.pdf The …
Hunnam 's user avatar
  • 155
0 votes
1 answer
275 views

Policy evaluation in contextual bandit setting

I am currently reading a paper whose links is (Exploration Scavenging) http://delivery.acm.org/10.1145/1400000/1390223/p528-langford.pdf?ip=128.135.98.49&id=1390223&acc=ACTIVE%20SERVICE&key=06A6A3A8AF …
Hunnam 's user avatar
  • 155
3 votes
1 answer
1k views

Using IPS(inverse probability weighting) with a deterministic policy as the logging policy

In a contextual bandit problem, why can't we use inverse probability weighting (inverse propensity score) with a deterministic policy as the logging policy? Could you give me a concrete example?
Hunnam 's user avatar
  • 155
0 votes
1 answer
102 views

Why is having low variance important in offline policy evaluation of reinforcement learning?

Intuitively, I understand that having an unbiased estimate of a policy is important because being biased just means that our estimate is distant from the truth value. However, I don't understand cle …
Hunnam 's user avatar
  • 155
0 votes
1 answer
163 views

quick questions about a contextual bandit problem

I am currently reading the paper "Learning from Logged Implicit Exploration Data" https://arxiv.org/pdf/1003.0120.pdf. But I believe the questions I have can be answered without reading the whole pape …
Hunnam 's user avatar
  • 155