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No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL.
Han Wang
Archit Sakhadeo
Adam M. White
James Bell
Vincent Liu
Xutong Zhao
Puer Liu
Tadashi Kozuno
Alona Fyshe
Martha White
Published in:
Trans. Mach. Learn. Res. (2022)
Keyphrases
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hyperparameters
model selection
cross validation
parameter settings
bayesian inference
closed form
reinforcement learning
random sampling
bayesian framework
gaussian process
support vector
maximum likelihood
prior information
sample size
em algorithm
maximum a posteriori
gaussian processes
noise level
incremental learning
regularization parameter
parameter optimization
grid search
parameter space
missing values
prior knowledge
incomplete data
generative model
state space
feature selection
data mining
latent variables
genetic algorithm ga
markov random field
objective function
machine learning