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On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning.
Baohe Zhang
Raghu Rajan
Luis Pineda
Nathan O. Lambert
André Biedenkapp
Kurtland Chua
Frank Hutter
Roberto Calandra
Published in:
CoRR (2021)
Keyphrases
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model based reinforcement learning
hyperparameters
model selection
markov decision processes
gaussian processes
multi agent
search space
np hard
state space
probabilistic graphical models