Algorithms For Reinforcement Learning

Adaptive Representations for Reinforcement Learning (repost)  eBooks & eLearning

Posted by rolexmaya at Aug. 19, 2011
Adaptive Representations for Reinforcement Learning (repost)

Adaptive Representations for Reinforcement Learning
Springer; 1st Edition | October 6, 2010 | ISBN-10: 3642139310 | 133 pages | PDF | 4.17 Mb

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task.

Design of Experiments for Reinforcement Learning  eBooks & eLearning

Posted by advisors at March 4, 2015
Design of Experiments for Reinforcement Learning

Design of Experiments for Reinforcement Learning By Christopher Gatti
2015 | 208 Pages | ISBN: 3319121960 | PDF | 6 MB
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning, 2 edition

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning, 2 edition by Abhijit Gosavi
English | 2014 | ISBN: 1489974903 | 508 pages | PDF | 5 MB

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.

Reinforcement Learning: An Introduction  eBooks & eLearning

Posted by step778 at Sept. 16, 2015
Reinforcement Learning: An Introduction

Richard S. Sutton, Andrew G. Barto, "Reinforcement Learning: An Introduction"
1998 | pages: 331 | ISBN: 0262193981 | PDF | 2,3 mb
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains [Repost]

Todd Hester - TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains
Published: 2013-07-04 | ISBN: 3319011677, 3319011693 | PDF | 165 pages | 5.94 MB
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (repost)

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains by Todd Hester
English | ISBN: 3319011677 | 2013 | 200 pages | PDF | 6 MB
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods (Repost)

Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods - S. Bhatnagar & H.L. Prasad & L.A. Prashanth
English | 2012 | 309 Pages | ISBN: 1447142845 | PDF | 4.5 MB

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fractional estimators for gradient- and Hessian-based methods are presented…
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Method (Repost)

Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods By S. Bhatnagar, H.L. Prasad, L.A. Prashanth
2013 | 309 Pages | ISBN: 1447142845 | PDF | 5 MB
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Repost)

Todd Hester, "TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains"
English | ISBN: 3319011677 | 2013 | 200 pages | PDF | 6 MB
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods (Repost)

Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods By S. Bhatnagar, H.L. Prasad, L.A. Prashanth
2013 | 309 Pages | ISBN: 1447142845 | PDF | 5 MB