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Minimax value interval for off-policy evaluation and policy optimization
Nan Jiang
, Jiawei Huang
Siebel School of Computing and Data Science
Electrical and Computer Engineering
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Keyphrases
Policy Optimization
100%
Minimax Values
100%
Off-policy Evaluation
100%
Value Function
66%
Importance Weights
66%
Learning Value
33%
Minimax
33%
Low Quality Data
33%
Importance Sampling
33%
Unified View
33%
Function Approximation
33%
Misspecification
33%
Weight Class
33%
Data Coverage
33%
Weight Learning
33%
Double Robustness
33%
Mathematics
Minimax
100%
Function Value
100%
Variance
50%
Approximation Function
50%
Importance Sampling
50%
Misspecification
50%
Computer Science
Function Value
100%
Optimization Policy
100%
Function Approximation
50%
Importance Sampling
50%
Psychology
Misspecification
100%
Economics, Econometrics and Finance
Scientific Modelling
100%