PACKT_PUBLISHING_DISCOVER_ALGORITHMS_FOR_REWARD_BASED_LEARNING_IN_R_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
741,97 MB
Files
18
Date
2017-09-19

NFO


░ ░▒▒▒▓▓█████▌░░ University of OXford & University of camBRiDGE ░░▐████▓▓▒▒▒░ ░
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  ...is a collective term for characteristics that the two institutions share.


     █ Discover Algorithms for Reward-Based Learning in R                 
     █                                                          
     ▄
     █ by Dr. Geoffrey Hubona                                            
     █ Publisher: Packt Publishing                                       
     ▓ Release Date: August 2017                                         
     ▓ ISBN: 9781788474092                                                
     ▒ Running time: 2:36:10                                              
     ▒ Topic: R                                                            
     ░ Scale: 16x50mb     
     ░ Downloads: (■) Included ( ) Without
     ░                                                      
     ░ Lecture Date: 09/2017          
     ░ Lecture Link: https://goo.gl/KVtNLD                
     ░
     :
     | Learn how to utilize algorithms for reward -based learning, as     
     | part of Reinforcement Learning with R                              
     |                                                                    
     | About This Video                                                   
     |                                                                    
     | Learn what reward-based learning is                                
     | Find out about the model-based and model-free approaches           
     | Learn how to build actions, rewards, and punishments for reward-   
     | based learning in R                                                
     | In Detail                                                          
     |                                                                    
     | Users will be taken through a journey that starts by showing them  
     | the various algorithms that can be used for reward-based learning. 
     | The video describes and compares the range of model-based and      
     | model-free learning algorithms that constitute RL algorithms.      
     |                                                                    
     | The primary aim is to learn how to create efficient, goal-oriented 
     | business policies, and how to evaluate and optimize those          
     | policies, primarily using the MDPtoolbox package in R. Finally,    
     | the video shows how to build actions, rewards, and punishments     
     | with a simulated annealing approach.                               
     ,
     

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PathSize
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ox_ppdafrblirtdkx.r1426,71 MB
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ox_ppdafrblirtdkx.sfv512 B
oxbridge.nfo3,12 KB