Can I read Deep Reinforcement Learning with Python : With PyTorch, TensorFlow and OpenAI Gym on EtoBox?

Deep Reinforcement Learning with Python : With PyTorch, TensorFlow and OpenAI Gym by Nimish Sanghi (auth.) is a nonfiction available to read on EtoBox.

What is Deep Reinforcement Learning with Python : With PyTorch, TensorFlow and OpenAI Gym about?

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise. You'll begin by reviewing the Markov decision processes, Bellman equations, and dynamic programming that form the core concepts and foundation of deep reinforcement learning. Next, you'll study model-free learning followed by function approximation using neural networks and deep learning. This is followed by various deep reinforcement learning algorithms such as deep q-networks, various flavors of actor-critic methods, and other policy-based methods. You'll also look at exploration vs exploitation dilemma, a key consideration in reinforcement learning algorithms, along with Monte Carlo tree search (MCTS), which played a key role in the success of AlphaGo. The final chapters conclude with deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the end, you'll understand deep reinforcement learning along with deep q networks and policy grad

Who reads Deep Reinforcement Learning with Python : With PyTorch, TensorFlow and OpenAI Gym?

Author

Nimish Sanghi (auth.)

Publisher

Apress : Imprint: Apress

Published

2021

Language

EN

ISBN

9781484268094

Category

nonfiction

Subjects

Language Learning, Computer Science, Science