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You're reading from Deep Reinforcement Learning Hands-On. - Second Edition

Product typeBook

Published inJan 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838826994

Edition2nd Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Reinforcement Learning

Author (1)

Maxim Lapan

Index

Symbols

2×2 cube model 763, 764, 765

3×3 cube model

A2C

agent, adding 333, 334, 335

using, on Pong 318, 319, 320, 321, 322, 323, 324

using, on Pong results 324, 325, 326, 327

with data parallelism 334

with gradients parallelism 334

A2C method

about 505

implementation 506, 508, 510

models, used for video recording 512

results 510, 511, 512

A3C, with data parallelism

about 336

implementation 336, 338, 339, 340, 341, 342, 343, 344

result 344

A3C, with with gradients parallelism

about 346, 347

implementation 347, 348, 349, 350, 351, 352

results 352

ACKTR

about 616

implementation 617

results 617, 618

actions 10

action selectors 166, 167

action selectors, cases

argmax 166

policy-based 166

action space 22

actor-critic method 638

about 316, 317

advantage 316

considerations 317, 318

Adam algorithm 322

advantage actor-critic (A2C...

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Author (1)

Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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