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Showing 1 - 20 results of 22 for search '"reinforcement learning"', query time: 0.06s Refine Results
  1. 1
    Reinforcement Learning
    by Richard S Sutton
    Published 1992
    Subjects: “...Reinforcement Learning control theory-machine learning...”
    Printed Book
  2. 2
    Hands-on reinforcement learning with Python : Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
    by Ravichandiran, Sudharsan
    Published 2018
    Table of Contents: “...; Preface; Chapter 1: Introduction to Reinforcement Learning; What is RL?; RL algorithm; How RL differs from...”
    Printed Book
  3. 3
    Deep reinforcement learning hands-on : Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo zero and more
    by Lapan, Maxim
    Published 2018
    Table of Contents: “...Table of ContentsWhat is Reinforcement Learning?OpenAI GymDeep Learning with PyTorchThe Cross...”
    Printed Book
  4. 4
    Reinforcement learning approaches to power system scheduling (Thesis)
    by Jasmin, E. A.
    Published 2008
    Ph.D Thesis
  5. 5
    Reinforcement learning for cyber-physical systems with cybersecurity case studies /
    by Li, Chong
    Published 2019
    Subjects: “...Reinforcement learning....”
    Printed Book
  6. 6
    Multi-agent machine learning : a reinforcement approach /
    by Schwartz, Howard M.
    Published 2014
    Subjects: “...Reinforcement learning. 2401...”
    Get full text
    Printed Book
  7. 7
    Stochastic Learning And Optimization : A Sensitivity-Based Approach /
    by Cao, Xi, -Ren, (Cao, Xi, -Ren)
    Published 2007
    Subjects: “...Perturbation Analysis,Markov Decision Processes,Reinforcement Learning,Sample Path Based Policy...”
    Printed Book
  8. 8
    Introduction to intelligent systems in traffic and transportation /
    Table of Contents: “... control -- 7.1.1 From isolated to coordinated intersections -- 7.1.2 Approaches based on reinforcement...”
    Abstract with links to full text
    eBook
  9. 9
    Introduction to intelligent systems in traffic and transportation /
    Table of Contents: “... control -- 7.1.1 From isolated to coordinated intersections -- 7.1.2 Approaches based on reinforcement...”
    Abstract with links to full text
    eBook
  10. 10
    Introduction To Machine Learning
    by Ethem Alpaydin
    Published 2005
    Table of Contents: “... algorithms -- Combining multiple learners -- Reinforcement learning -- Probability....”
    Printed Book
  11. 11
    Machine Learning
    by Tom M Mitchell
    Published 2013
    Table of Contents: “... of Rules -- 11. Analytical Learning -- 12. Combining Inductive and Analytical Learning -- 13. Reinforcement...”
    Printed Book
  12. 12
    Artificial intelligence application programming /2nd ed.
    by Jones, M. Tim
    Published 2005
    Table of Contents: “... to reinforcement learning -- Introduction to genetic algorithms -- Artificial life -- Introduction to rules-based...”
    Printed Book
  13. 13
    Introduction to Machine Learning
    by Ethem Alpaydin
    Published 2018
    Table of Contents: “.... Reinforcement Learning 19. Design and Analysis of Machine Learning Experiments Printed Pages: 635....”
    Printed Book
  14. 14
    Deep learning : a practitioner's approach /
    by Patterson, Josh
    Published 2017
    Table of Contents: “... -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know...”
    Printed Book
  15. 15
    Machine Learning: An Algorithmic Perspective
    by Stephen Marsland
    Published 2009
    Printed Book
  16. 16
    Big data and machine learning in quantitative investment /
    by Guida, Tony
    Published 2019
    Table of Contents: “...-Machine Based Global Tactical Asset Allocation Chapter 12: Reinforcement learning in finance Chapter 13...”
    Printed Book
  17. 17
    Fundamentals of deep learning : designing next-generation machine intelligence algorithms
    Printed Book
  18. 18
    Deep learning with Keras : Implementing deep learning models and neural networks with the power of Python
    by Gulli, Antonio & Pal, Sujit
    Published 2017
    Printed Book
  19. 19
    Superintelligence: Paths, Dangers, Strategies
    by Bostrom, Nick
    Published 2014
    Table of Contents: “... ; Reinforcement learning ; Associative value accretion ; Motivational scaffolding ; Value learning ; Emulation...”
    Printed Book
  20. 20
    Fundamental Data Compression
    by Ida Pu
    Published 2006
    Printed Book
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