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DateititelDeep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (E
Veröffentlichungsdatum
SpracheDeutsch
ISBN-106948530649-TGV
Digital ISBN492-5191933093-NGY
AutorErna Schillinger
ÜbersetzerUdonna Faakhir
Seitenzahl526 Pages
EditorMilo Niedenthal
DokumententypEPub PDF AMZ HWP WRD
Dateigröße5.84 MB
DateinamenDeep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (E.pdf






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