๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Grokking Deep Reinforcement Learning

โœ Scribed by Miguel Morales

Publisher
Manning Publications
Year
2020
Tongue
English
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.

Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field.

โœฆ Subjects

Computers, Programming, Algorithms

๐Ÿ“œ SIMILAR VOLUMES

Grokking Deep Reinforcement Learning
๐Ÿ“ Grokking Deep Reinforcement Learning
โœ Miguel Morales ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Manning Publications ๐ŸŒ English

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn b

Grokking Deep Reinforcement Learning (Bo
๐Ÿ“ Grokking Deep Reinforcement Learning (Book + Code)
โœ Miguel Morales ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Manning Publications ๐ŸŒ English

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn b

Deep Reinforcement Learning
๐Ÿ“ Deep Reinforcement Learning
โœ Aske Plaat ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer ๐ŸŒ English

<span>Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand proble

Deep Reinforcement Learning
๐Ÿ“ Deep Reinforcement Learning
โœ Aske Plaat ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer Nature ๐ŸŒ English

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems tha

Deep Reinforcement Learning
๐Ÿ“ Deep Reinforcement Learning
โœ Aske Plaat ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer Nature ๐ŸŒ English

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems tha