"Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach"

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Book	Author(s)	Year	Publisher
Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach	Yinyan Zhang; Shuai Li; Xuefeng Zhou	1st ed. 2020	Springer International Publishing
Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach	Rushikesh Kamalapurkar; Patrick Walters; Joel Rosenfeld; Warren Dixon	1st ed. 2018	Springer International Publishing
Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
Grokking Deep Reinforcement Learning	Miguel Morales	2020	Manning Publications
Deep Reinforcement Learning Hands-On	Maxim Lapan	2020	Packt
Deep Reinforcement Learning in Action	Alexander Zai, Brandon Brown	2020	Manning Publications
Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles	Li Yeuching; He Hongwen		Springer International Publishing
Automated Software Engineering: A Deep Learning-Based Approach	Suresh Chandra Satapathy; Ajay Kumar Jena; Jagannath Singh; Saurabh Bilgaiyan	1st ed. 2020	Springer International Publishing
Practical MATLAB Deep Learning: A Project-Based Approach	Michael Paluszek; Stephanie Thomas	1st ed.	Apress
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-On Reinforcement Learning with Python: Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow	Ravichandiran, Sudharsan	2018;2019	Packt Publishing Ltd
Motor learning and performance: a situation-based learning approach	Richard A. Schmidt	2008	Human Kinetics
Deep Reinforcement Learning for Wireless Networks	F. Richard Yu; Ying He	1st ed. 2019	Springer International Publishing
Deep Reinforcement Learning in Unity: With Unity ML Toolkit	Abhilash Majumder	1st ed.	Apress
HANDS-ON REINFORCEMENT LEARNING WITH PYTHON -: master reinforcement and deep reinforcement. . . learning from scratch using openai gym and tensorf.	SUDHARSAN RAVICHANDIRAN	2020	PACKT PUBLISHING LIMITED
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks	Umberto Michelucci	1st ed.	Apress
Multi-Agent Coordination: A Reinforcement Learning Approach	Arup Kumar Sadhu; Amit Konar	2021	Wiley-IEEE Press
Multi-Agent Machine Learning: A Reinforcement Approach	Howard M. Schwartz	2014	John Wiley & Sons
Nonlinear Systems Stability Analysis: Lyapunov-Based Approach	Seyed Kamaleddin Yadavar Nikravesh	2013	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Value-Based Reinforcement Learning	Aske Plaat	Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
A Deep Reinforcement Learning Based Feature Selector	Yiran Cheng; Kazuhiko Komatsu; Masayuki Sato; Hiroaki Kobayashi	Parallel Architectures, Algorithms and Programming: 11th International Symposium, PAAP 2020, Shenzhen, China, December 28–30, 2020, Proceedings	Li Ning; Vincent Chau; Francis Lau	1st ed. 2021	Springer Nature Singapore
Deep Reinforcement Learning	Chong Li	Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies	Chong Li; Meikang Qiu	2019	Routledge
Deep Reinforcement Learning	Mrinal Paliwal	International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing: Proceedings of IEMAICLOUD 2021	Fausto Pedro García Márquez	1st ed. 2022	Springer International Publishing
Deep Reinforcement Learning	Paul Fergus; Carl Chalmers	Applied Deep Learning: Tools, Techniques, and Implementation	Paul Fergus; Carl Chalmers	1st ed. 2022	Springer International Publishing
Deep reinforcement learning	Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas	Deep Learning for Robot Perception and Cognition	Alexandros Iosifidis and Anastasios Tefas	2022	Academic Press
Deep Reinforcement Learning		Creating Augmented and Virtual Realities: Theory and Practice for Next-Generation Spatial Computing	Erin Pangilinan; Steve Lukas; Vasanth Mohan	2019	O'Reilly Media
Deep Reinforcement Learning		Reinforcement Learning: Industrial Applications of Intelligent Agents	Phil Winder	2020	O'Reilly Media
Deep reinforcement learning		Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems	Amita Kapoor	2019	Packt Publishing
Deep reinforcement learning		Deep Learning for Beginners; A beginner's guide to getting up and running with deep learning from scratch using Python	Dr. Pablo Rivas	2020	Packt
Deep reinforcement learning		Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques (English Edition)	Anand Deshpande, Manish Kumar	2018	Packt Publishing
Deep reinforcement learning		Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling (English Edition)	Wei Di, Anurag Bhardwaj, Jianing Wei	2018	Packt Publishing
Deep Reinforcement Learning		Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence	Jon Krohn, Grant Beyleveld, Aglaé Bassens	2018	Addison-Wesley Professional
Deep reinforcement learning.		Fundamentals of deep learning: designing next-generation machine intelligence algorithms /	Buduma, Nikhil,; Locascio, Nicholas,		O'Reilly Media, Inc.
Deep Reinforcement Learning	Abhilash Majumder	Deep Reinforcement Learning in Unity: With Unity ML Toolkit	Abhilash Majumder	1st ed.	Apress
Deep Reinforcement Learning	Andreas Folkers	Steuerung eines autonomen Fahrzeugs durch Deep Reinforcement Learning	Andreas Folkers	1. Aufl. 2019	Springer Fachmedien Wiesbaden
Deep Reinforcement Learning	Charu C. Aggarwal	Neural Networks and Deep Learning: A Textbook	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Deep Reinforcement Learning	Chen Lei	Deep Learning and Practice with MindSpore	Lei Chen	1st ed. 2021	Springer Nature Singapore
Deep Reinforcement Learning		Deep Learning Essentials	Wei Di, Anurag Bhardwaj, Jianing Wei	2018	Packt
Deep reinforcement learning		Deep Learning Essentials	Wei Di, Anurag Bhardwaj, Jianing Wei	2018	Packt
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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