Opening book details…
Can I read Nandy Biswas Reinforcement Learning 2018 on EtoBox?
Nandy Biswas Reinforcement Learning 2018 is a nonfiction available to read on EtoBox.
What is Nandy Biswas Reinforcement Learning 2018 about?
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used. What You'll Learn Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python
Who reads Nandy Biswas Reinforcement Learning 2018?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Publisher
- Apress, Incorporated
- Published
- 2017
- Language
- EN
- ISBN
- 9781484232842
- Category
- nonfiction
- Subjects
- Computer Science, Language Learning, Science
Other editions & translations
Similar books
- Deep Reinforcement Learning in Unity : With Unity ML Toolkit — Abhilash Majumder; Safari, an O'Reilly Media Company (2020)
- HANDS-ON REINFORCEMENT LEARNING WITH PYTHON - : Master Reinforcement and Deep Reinforcement... Learning from Scratch Using Openai Gym and Tensorf. — SUDHARSAN. RAVICHANDIRAN (2020)
- Hands-On Reinforcement Learning for Games: Implementing Self-learning Agents in Games Using Artificial Intelligence Techniques. Code — Micheal Lanham (2020)
- Deep Reinforcement Learning in Action — Brandon Brown Alexander Zai (2020)
- Motivated Reinforcement Learning : Curious Characters for Multiuser Games — Kathryn E. Merrick; Mary Lou Maher (2009)
- Grokking Deep Reinforcement Learning — Miguel Morales, (Computer scientist) (2020)