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When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies.
Krzysztof Choromanski
Aldo Pacchiano
Jack Parker-Holder
Jasmine Hsu
Atil Iscen
Deepali Jain
Vikas Sindhwani
Published in:
CoRR (2019)
Keyphrases
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random search
reinforcement learning
parameter optimization
optimal policy
genetic algorithm
simulated annealing
global optimization
sample size
machine learning
configuration space