Hurtig levering
Fremragende Trustpilot
Op til 20% Rabat på nye medlemsordrer
Kurv
Foundations of Deep Reinforcement Learning
Af: Laura Graesser, Wah Loon Keng Engelsk Paperback
SPAR
kr 63
Foundations of Deep Reinforcement Learning
Af: Laura Graesser, Wah Loon Keng Engelsk Paperback
In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. 

Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: 
  • Components of an RL system, including environment and agents
  • Value-based algorithms: SARSA, Q-learning and extensions, offline learning
  • Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques
  • Combined methods: Actor-Critic and extensions; scalability through async methods
  • Agent evaluation
  • Advanced and experimental techniques, and more
  • How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning 
  • Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise 
  • Provides well-designed, modularized, and tested code examples with complete experimental data sets to illuminate the underlying algorithms
  • Includes case studies, practical tips, definitions, and other aids to learning and mastery
  • Prepares readers for exciting future advances in artificial general intelligence
The accessible, hands-on, full-color tutorial for building practical deep reinforcement learning solutions
  • How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning 
  • Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise 
  • Provides well-designed, modularized, and tested code examples with complete experimental data sets to illuminate the underlying algorithms
  • Includes case studies, practical tips, definitions, and other aids to learning and mastery
  • Prepares readers for exciting future advances in artificial general intelligence

 

Eksklusiv medlemspris 364 kr
Medlemspris 370 kr
Eksklusiv medlemspris og medlemspris er kun for medlemmer. Du bliver automatisk medlem når du køber til eksklusiv medlemspris eller medlemspris. Få 7 dages gratis medlemskab (herefter automatisk 89 kr/30 dage). Læs mere om fordelene
Gratis fragt
5 - 7 hverdage
10 kr
Lavt pakkegebyr
Normalpris 427 kr
Fragt: 59 kr
7 - 10 hverdage
20 kr
Pakkegebyr
Spar 63 kr
Se vores konkurrenters priser her
God 15.838 anmeldelser på
In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. 

Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: 
  • Components of an RL system, including environment and agents
  • Value-based algorithms: SARSA, Q-learning and extensions, offline learning
  • Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques
  • Combined methods: Actor-Critic and extensions; scalability through async methods
  • Agent evaluation
  • Advanced and experimental techniques, and more
  • How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning 
  • Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise 
  • Provides well-designed, modularized, and tested code examples with complete experimental data sets to illuminate the underlying algorithms
  • Includes case studies, practical tips, definitions, and other aids to learning and mastery
  • Prepares readers for exciting future advances in artificial general intelligence
The accessible, hands-on, full-color tutorial for building practical deep reinforcement learning solutions
  • How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning 
  • Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise 
  • Provides well-designed, modularized, and tested code examples with complete experimental data sets to illuminate the underlying algorithms
  • Includes case studies, practical tips, definitions, and other aids to learning and mastery
  • Prepares readers for exciting future advances in artificial general intelligence

 

Produktdetaljer
Sprog: Engelsk
Sider: 416
ISBN-13: 9780135172384
Indbinding: Paperback
Udgave:
ISBN-10: 0135172381
Kategori: Socialt arbejde
Udg. Dato: 4 feb 2020
Længde: 13mm
Bredde: 231mm
Højde: 168mm
Oplagsdato: 4 feb 2020
Forfatter(e): Laura Graesser, Wah Loon Keng
Forfatter(e) Laura Graesser, Wah Loon Keng


Kategori Socialt arbejde


Sprog Engelsk


Indbinding Paperback


Sider 416


Udgave


Længde 13mm


Bredde 231mm


Højde 168mm

MEDLEMSFORDELE
GRATIS FRAGT
SPAR OP TIL 90%
Andre har også købt
BOG (HÆFTET)
Eksklusiv medlemspris kr 189

kr 280
Normalpris
kr 198
Medlemspris
SPAR
kr 91
BOG (INDBUNDET)
Eksklusiv medlemspris kr 380

kr 499
Normalpris
kr 392
Medlemspris
SPAR
kr 119
BOG (INDBUNDET)
Eksklusiv medlemspris kr 220

kr 320
Normalpris
kr 230
Medlemspris
SPAR
kr 100
BOG (INDBUNDET)
Eksklusiv medlemspris kr 919

kr 1.499
Normalpris
kr 977
Medlemspris
SPAR
kr 580
BOG (INDBUNDET)
Eksklusiv medlemspris kr 183

kr 270
Normalpris
kr 192
Medlemspris
SPAR
kr 87
BOG (INDBUNDET)
Eksklusiv medlemspris kr 208

kr 299
Normalpris
kr 217
Medlemspris
SPAR
kr 91
BOG (INDBUNDET)
Eksklusiv medlemspris kr 214

kr 320
Normalpris
kr 225
Medlemspris
SPAR
kr 106
BOG (INDBUNDET)
Eksklusiv medlemspris kr 329

kr 499
Normalpris
kr 346
Medlemspris
SPAR
kr 170
BOG (PAPERBACK)
Eksklusiv medlemspris kr 166

kr 201
Normalpris
kr 170
Medlemspris
SPAR
kr 35
BOG (INDBUNDET)
Eksklusiv medlemspris kr 239

kr 329
Normalpris
kr 248
Medlemspris
SPAR
kr 90
BOG (HÆFTET)
Eksklusiv medlemspris kr 191

kr 269
Normalpris
kr 199
Medlemspris
SPAR
kr 78
BOG (INDBUNDET)
Eksklusiv medlemspris kr 183

kr 270
Normalpris
kr 192
Medlemspris
SPAR
kr 87
BOG (HÆFTET)
Eksklusiv medlemspris kr 27

kr 227
Normalpris
kr 47
Medlemspris
SPAR
kr 200
BOG (INDBUNDET)
Eksklusiv medlemspris kr 203

kr 300
Normalpris
kr 213
Medlemspris
SPAR
kr 97
BOG (HÆFTET)
Eksklusiv medlemspris kr 314

kr 349
Normalpris
kr 318
Medlemspris
SPAR
kr 35
BOG (HÆFTET)
Eksklusiv medlemspris kr 154

kr 229
Normalpris
kr 162
Medlemspris
SPAR
kr 75
BOG (HÆFTET)
Eksklusiv medlemspris kr 154

kr 229
Normalpris
kr 162
Medlemspris
SPAR
kr 75
BOG (HARDBACK)
Eksklusiv medlemspris kr 25

kr 227
Normalpris
kr 45
Medlemspris
SPAR
kr 202
BOG (INDBUNDET)
Eksklusiv medlemspris kr 229

kr 299
Normalpris
kr 236
Medlemspris
SPAR
kr 70
BOG (HÆFTET)
Eksklusiv medlemspris kr 80

kr 229
Normalpris
kr 95
Medlemspris
SPAR
kr 149
Vi anbefaler også
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (HARDBACK)
Eksklusiv medlemspris kr 485

kr 619
Normalpris
kr 498
Medlemspris
SPAR
kr 134
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 402

kr 450
Normalpris
kr 407
Medlemspris
SPAR
kr 48
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 604

kr 788
Normalpris
kr 622
Medlemspris
SPAR
kr 184
BOG (PAPERBACK)
Eksklusiv medlemspris kr 315

kr 337
Normalpris
kr 317
Medlemspris
SPAR
kr 22
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 249

kr 256
Normalpris
kr 250
Medlemspris
SPAR
kr 7
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 761

kr 1.014
Normalpris
kr 786
Medlemspris
SPAR
kr 253
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 407

kr 506
Normalpris
kr 417
Medlemspris
SPAR
kr 99
BOG (PAPERBACK)
Eksklusiv medlemspris kr 388

kr 597
Normalpris
kr 409
Medlemspris
SPAR
kr 209
BOG (HARDBACK)
Eksklusiv medlemspris kr 796

kr 957
Normalpris
kr 812
Medlemspris
SPAR
kr 161