Maxim Lapan – författare
Visar alla böcker från författaren Maxim Lapan. Handla med fri frakt och snabb leverans.
5 produkter
Deep Reinforcement Learning Hands-On
Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Av Oleg Vasilev, Maxim Lapan m. fl.
Häftad, 2018
670 kr
Lägg i varukorg
Publisher\'s Note: This edition from 2018 is outdated and not compatible with any of the most recent updates to Python libraries. A new third edition, updated for 2020 with six new chapters that include multi-agent methods, discrete optimization, RL in robotics, and advanced exploration techniques …
Deep Reinforcement Learning Hands-On
A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
Av Maxim Lapan
Häftad, 2024
732 kr
Lägg i varukorg
Maxim Lapan delivers intuitive explanations and insights into complex reinforcement learning (RL) concepts, starting from the basics of RL on simple environments and tasks to modern, state-of-the-art methodsPurchase of the print or Kindle book includes a free PDF eBookFree with your book: DRM-free …
Deep Reinforcement Learning Hands-On
Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
Av Maxim Lapan
E-bok, 2020
739 kr
Lägg i varukorg
Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more Key Features Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters Learn advanced exploration techniques …
Deep Reinforcement Learning Hands-On
Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
Av Maxim Lapan
Häftad, 2020
1072 kr
Lägg i varukorg
Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and moreKey FeaturesSecond edition of the bestselling introduction to deep reinforcement learning, expanded with six new chaptersLearn advanced exploration techniques …
