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Deep Reinforcement Learning Hands-On - Second Edition: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

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Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more
  • Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters
  • Learn advanced exploration techniques including noisy networks, pseudo-count, and network distillation methods
  • Apply RL methods to cheap hardware robotics platforms
Deep Reinforcement Learning Hands-On, Second Edition is an updated and expanded versio...