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You are here: Home ▶ Limited-Time Offers ▶ Deep Reinforcement Learning Hands-On

Deep Reinforcement Learning Hands-On

August 25, 2019

Deep Reinforcement Learning Hands-On

With Deep Reinforcement Learning Hands-On, explore deep reinforcement learning (RL), from the first principles to the latest algorithms. Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms. (Limited-time offer)

Book Description

What is Reinforcement Learning? • OpenAI Gym • Deep Learning with PyTorch • The Cross-Entropy Method • Tabular Learning and the Bellman Equation • Deep Q-Networks • DQN Extensions • Stocks Trading Using RL • Policy Gradients – An Alternative • The Actor-Critic Method • Asynchronous Advantage Actor-Critic • Chatbots Training with RL • Web Navigation • Continuous Action Space • Trust Regions – TRPO, PPO, and ACKTR • Black-Box Optimization in RL • Beyond Model-Free – Imagination • AlphaGo Zero

Download Free PDF / Read Online

Author(s): James D. Miller
Publisher: Packt Publishing
Published: June 2018
Format(s): Online
File size: –
Number of pages: 546
Download / View Link(s): This offer has ended.
Free as of 08/25/2019.

Similar Books:

  1. Reinforcement Learning: An Introduction
  2. Neural Networks and Deep Learning
  3. Reinforcement Learning
  4. Efficient Learning Machines
  5. The Hundred-Page Machine Learning Book
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