Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition

(ebook) (audiobook) (audiobook)

Autor:: Sudharsan Ravichandiran

Promocja Przejdź

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition Sudharsan Ravichandiran - okladka książki

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition Sudharsan Ravichandiran - audiobook MP3

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition Sudharsan Ravichandiran - audiobook CD

Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 760
Dostępne formaty::      PDF

     ePub

     Mobi

Ebook (125,10 zł najniższa cena z 30 dni)

~~139,00 zł~~ (-78%)
29,90 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

(125,10 zł najniższa cena z 30 dni)

Przenieś na półkę

Do przechowalni

With significant enhancements in the quality and quantity of algorithms in recent years, this second edition of Hands-On Reinforcement Learning with Python has been revamped into an example-rich guide to learning state-of-the-art reinforcement learning (RL) and deep RL algorithms with TensorFlow 2 and the OpenAI Gym toolkit.

In addition to exploring RL basics and foundational concepts such as Bellman equation, Markov decision processes, and dynamic programming algorithms, this second edition dives deep into the full spectrum of value-based, policy-based, and actor-critic RL methods. It explores state-of-the-art algorithms such as DQN, TRPO, PPO and ACKTR, DDPG, TD3, and SAC in depth, demystifying the underlying math and demonstrating implementations through simple code examples.

The book has several new chapters dedicated to new RL techniques, including distributional RL, imitation learning, inverse RL, and meta RL. You will learn to leverage stable baselines, an improvement of OpenAI’s baseline library, to effortlessly implement popular RL algorithms. The book concludes with an overview of promising approaches such as meta-learning and imagination augmented agents in research.

By the end, you will become skilled in effectively employing RL and deep RL in your real-world projects.

Wybrane bestsellery

O autorze książki

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.

Sudharsan Ravichandiran - pozostałe książki

Promocja

Getting Started with Google BERT will help you become well-versed with the BERT model from scratch and learn how to create interesting NLP applications. You'll understand several variants of BERT such as ALBERT, RoBERTa, DistilBERT, ELECTRA, VideoBERT, and many others in detail.
- PDF + ePub + Mobi
Getting Started with Google BERT. Build and train state-of-the-art natural language processing models using BERT

Sudharsan Ravichandiran

(107,10 zł najniższa cena z 30 dni)

29.90 zł ~~119.00 zł (-75%)~~
Promocja

This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
- PDF + ePub + Mobi
Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow

Sudharsan Ravichandiran

(98,10 zł najniższa cena z 30 dni)

29.90 zł ~~109.00 zł (-73%)~~
Promocja

Reinforcement learning and deep reinforcement learning are the trending and most promising branches of artificial intelligence. This Learning Path will enable you to master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms and their limitations.
- PDF + ePub + Mobi
Python Reinforcement Learning. Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran, Sean Saito, Rajalingappaa Shanmugamani, Yang Wenzhuo

(161,10 zł najniższa cena z 30 dni)

29.90 zł ~~179.00 zł (-83%)~~
Promocja

Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
- PDF + ePub + Mobi
Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran

(98,10 zł najniższa cena z 30 dni)

29.90 zł ~~109.00 zł (-73%)~~
Promocja

This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of learning to learn, the book will help you implement your meta learning algorithms from scratch.
- PDF + ePub + Mobi
Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Sudharsan Ravichandiran

(107,10 zł najniższa cena z 30 dni)

29.90 zł ~~119.00 zł (-75%)~~

Ebooka "Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition" przeczytasz na:

czytnikach Inkbook, Kindle, Pocketbook, Onyx Booxs i innych
systemach Windows, MacOS i innych

systemach Windows, Android, iOS, HarmonyOS
na dowolnych urządzeniach i aplikacjach obsługujących formaty: PDF, EPub, Mobi

Masz pytania? Zajrzyj do zakładki Pomoc »

Audiobooka "Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition" posłuchasz:

w aplikacji Ebookpoint na Android, iOS, HarmonyOs
na systemach Windows, MacOS i innych

na dowolonych urządzeniach
i aplikacjach obsługujących format MP3
(pliki spakowane w ZIP)

Masz pytania? Zajrzyj do zakładki Pomoc »

Kurs Video "Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition" zobaczysz:

Oceny i opinie klientów: Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition Sudharsan Ravichandiran (0) Weryfikacja opinii następuję na podstawie historii zamówień na koncie Użytkownika umieszczającego opinię. Użytkownik mógł otrzymać punkty za opublikowanie opinii uprawniające do uzyskania rabatu w ramach Programu Punktowego.

Szczegóły książki

Tytuł oryginału:: Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition
ISBN Ebooka:: 978-18-392-1559-9, 9781839215599
Data wydania ebooka :: 2020-09-30 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: 1
Rozmiar pliku Pdf:: 27.3MB
Rozmiar pliku ePub:: 27.8MB
Rozmiar pliku Mobi:: 45.6MB