Reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challenges /: learn, understand, and develop smart algorithms for addressing AI challenges. (2019)

Record Type:
Book
Title:
Reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challenges /: learn, understand, and develop smart algorithms for addressing AI challenges. (2019)
Main Title:
Reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challenges
Further Information:
Note: Andrea Lonza.
Authors:
Lonza, Andrea
Contents:
Table of ContentsThe Landscape of Reinforcement LearningImplementing RL Cycle and OpenAI GymSolving Problems with Dynamic ProgrammingQ learning and SARSA ApplicationsDeep Q-NetworkLearning Stochastic and DDPG optimizationTRPO and PPO implementationDDPG and TD3 ApplicationsModel-Based RLImitation Learning with the DAgger AlgorithmUnderstanding Black-Box Optimization AlgorithmsDeveloping the ESBAS AlgorithmPractical Implementation for Resolving RL Challenges.
Publisher Details:
Birmingham : Packt Publishing
Publication Date:
2019
Extent:
1 online resource
Subjects:
006.31
Reinforcement learning
Python (Computer program language)
Languages:
English
ISBNs:
9781789139709
Notes:
Note: Description based on CIP data; resource not viewed.
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library HMNTS - ELD.DS.466706
Ingest File:
02_611.xml