Deep Reinforcement Learning Frontiers of Artificial Intelligence /

• Κύριος συγγραφέας: Sewak, Mohit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Computer programming.; Artificial intelligence.; Algorithms.; Data encryption (Computer science).; Programming Techniques.; Artificial Intelligence.; Algorithm Analysis and Problem Complexity.; Cryptology.

This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in...

Πίνακας περιεχομένων:

• Introduction to Reinforcement Learning
• Mathematical and Algorithmic understanding of Reinforcement Learning
• Coding the Environment and MDP Solution
• Temporal Difference Learning, SARSA, and Q Learning
• Q Learning in Code
• Introduction to Deep Learning
• Implementation Resources
• Deep Q Network (DQN), Double DQN and Dueling DQN
• Double DQN in Code
• Policy-Based Reinforcement Learning Approaches
• Actor-Critic Models & the A3C
• A3C in Code
• Deterministic Policy Gradient and the DDPG
• DDPG in Code.