عنوان

Deep reinforcement learning for wireless networks /

شابک

3030105466

شابک

3030105474

شابک

9783030105464

شابک

9783030105471

شابک اشتباه

3030105458

شابک اشتباه

9783030105457

عنوان اصلي

Deep reinforcement learning for wireless networks /

نام عام مواد

[Book]

نام نخستين پديدآور

F. Richard Yu, Ying He.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource (78 pages)

عنوان فروست

SpringerBriefs in Electrical and Computer Engineering

متن يادداشت

Intro; Preface; A Brief Journey Through D̀̀eep Reinforcement Learning for Wireless Networks''; Contents; 1 Introduction to Machine Learning; 1.1 Supervised Learning; 1.1.1 k-Nearest Neighbor (k-NN); 1.1.2 Decision Tree (DT); 1.1.3 Random Forest; 1.1.4 Neural Network (NN); Random NN; Deep NN; Convolutional NN; Recurrent NN; 1.1.5 Support Vector Machine (SVM); 1.1.6 Bayes' Theory; 1.1.7 Hidden Markov Models (HMM); 1.2 Unsupervised Learning; 1.2.1 k-Means; 1.2.2 Self-Organizing Map (SOM); 1.3 Semi-supervised Learning; References; 2 Reinforcement Learning and Deep Reinforcement Learning.

متن يادداشت

2.1 Reinforcement Learning2.2 Deep Q-Learning; 2.3 Beyond Deep Q-Learning; 2.3.1 Double DQN; 2.3.2 Dueling DQN; References; 3 Deep Reinforcement Learning for Interference Alignment Wireless Networks; 3.1 Introduction; 3.2 System Model; 3.2.1 Interference Alignment; 3.2.2 Cache-Equipped Transmitters; 3.3 Problem Formulation; 3.3.1 Time-Varying IA-Based Channels; 3.3.2 Formulation of the Network's Optimization Problem; System State; System Action; Reward Function; 3.4 Simulation Results and Discussions; 3.4.1 TensorFlow; 3.4.2 Simulation Settings; 3.4.3 Simulation Results and Discussions.

متن يادداشت

3.5 Conclusions and Future WorkReferences; 4 Deep Reinforcement Learning for Mobile Social Networks; 4.1 Introduction; 4.1.1 Related Works; 4.1.2 Contributions; 4.2 System Model; 4.2.1 System Description; 4.2.2 Network Model; 4.2.3 Communication Model; 4.2.4 Cache Model; 4.2.5 Computing Model; 4.3 Social Trust Scheme with Uncertain Reasoning; 4.3.1 Trust Evaluation from Direct Observations; 4.3.2 Trust Evaluation from Indirect Observations; Belief Function; Dempster's Rule of Combining Belief Functions; 4.4 Problem Formulation; 4.4.1 System State; 4.4.2 System Action; 4.4.3 Reward Function.

متن يادداشت

4.5 Simulation Results and Discussions4.5.1 Simulation Settings; 4.5.2 Simulation Results; 4.6 Conclusions and Future Work; References.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030105464

عنوان

Deep Reinforcement Learning for Wireless Networks.

شماره استاندارد بين المللي کتاب و موسيقي

9783030105457

موضوع مستند نشده

Reinforcement learning.

موضوع مستند نشده

Wireless communication systems.

موضوع مستند نشده

Reinforcement learning.

موضوع مستند نشده

Wireless communication systems.

موضوع مستند نشده

TEC061000

موضوع مستند نشده

TJKW

موضوع مستند نشده

TJKW

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Yu, F. Richard

مستند نام اشخاص تاييد نشده

He, Ying

تاريخ عمليات

20200823082353.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y