Enviar búsqueda
Cargar
Learning agents
•
4 recomendaciones
•
7,458 vistas
Vostrikov Arkady
Seguir
Работа студента
Leer menos
Leer más
Denunciar
Compartir
Denunciar
Compartir
1 de 12
Recomendados
Evolving role of Software
Evolving role of Software
Shankar Dahal
Programming paradigm
Programming paradigm
busyking03
Structure of agents
Structure of agents
MANJULA_AP
Agents in Artificial intelligence
Agents in Artificial intelligence
Lalit Birla
Code generation errors and recovery
Code generation errors and recovery
Momina Idrees
Bezier curve computer graphics
Bezier curve computer graphics
University of Potsdam
AndroidManifest
AndroidManifest
Ahsanul Karim
Unit1 principle of programming language
Unit1 principle of programming language
Vasavi College of Engg
Recomendados
Evolving role of Software
Evolving role of Software
Shankar Dahal
Programming paradigm
Programming paradigm
busyking03
Structure of agents
Structure of agents
MANJULA_AP
Agents in Artificial intelligence
Agents in Artificial intelligence
Lalit Birla
Code generation errors and recovery
Code generation errors and recovery
Momina Idrees
Bezier curve computer graphics
Bezier curve computer graphics
University of Potsdam
AndroidManifest
AndroidManifest
Ahsanul Karim
Unit1 principle of programming language
Unit1 principle of programming language
Vasavi College of Engg
AI: Learning in AI
AI: Learning in AI
DataminingTools Inc
ProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) Introduction
wahab khan
Compare between pop and oop
Compare between pop and oop
Md Ibrahim Khalil
Classification of Programming Languages
Classification of Programming Languages
Project Student
Direct linking loader
Direct linking loader
babyparul
1.1 The nature of software.ppt
1.1 The nature of software.ppt
JAYAPRIYAR7
Automatic Code Generation
Automatic Code Generation
elliando dias
Nonrecursive predictive parsing
Nonrecursive predictive parsing
alldesign
Programming Paradigms
Programming Paradigms
Directi Group
Loader
Loader
nikhilshrama
Multi-agent systems
Multi-agent systems
R A Akerkar
Formal Specification in Software Engineering SE9
Formal Specification in Software Engineering SE9
koolkampus
Fundamentals of Language Processing
Fundamentals of Language Processing
Hemant Sharma
Unit 5
Unit 5
Jignesh Kariya
Procedural programming
Procedural programming
Ankit92Chitnavis
PROCEDURAL ORIENTED PROGRAMMING VS OBJECT ORIENTED PROGRAMING
PROCEDURAL ORIENTED PROGRAMMING VS OBJECT ORIENTED PROGRAMING
Uttam Singh
Attributes of output primitives( curve attributes & area fill attributes)
Attributes of output primitives( curve attributes & area fill attributes)
shalinikarunakaran1
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCE
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCE
Khushboo Pal
Useful Techniques in Artificial Intelligence
Useful Techniques in Artificial Intelligence
Ila Group
OPERATORS OF C++
OPERATORS OF C++
ANANT VYAS
Quality attributes testing. From Architecture to test acceptance
Quality attributes testing. From Architecture to test acceptance
IT Weekend
TDD in functional testing with WebDriver
TDD in functional testing with WebDriver
Mikalai Alimenkou
Más contenido relacionado
La actualidad más candente
AI: Learning in AI
AI: Learning in AI
DataminingTools Inc
ProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) Introduction
wahab khan
Compare between pop and oop
Compare between pop and oop
Md Ibrahim Khalil
Classification of Programming Languages
Classification of Programming Languages
Project Student
Direct linking loader
Direct linking loader
babyparul
1.1 The nature of software.ppt
1.1 The nature of software.ppt
JAYAPRIYAR7
Automatic Code Generation
Automatic Code Generation
elliando dias
Nonrecursive predictive parsing
Nonrecursive predictive parsing
alldesign
Programming Paradigms
Programming Paradigms
Directi Group
Loader
Loader
nikhilshrama
Multi-agent systems
Multi-agent systems
R A Akerkar
Formal Specification in Software Engineering SE9
Formal Specification in Software Engineering SE9
koolkampus
Fundamentals of Language Processing
Fundamentals of Language Processing
Hemant Sharma
Unit 5
Unit 5
Jignesh Kariya
Procedural programming
Procedural programming
Ankit92Chitnavis
PROCEDURAL ORIENTED PROGRAMMING VS OBJECT ORIENTED PROGRAMING
PROCEDURAL ORIENTED PROGRAMMING VS OBJECT ORIENTED PROGRAMING
Uttam Singh
Attributes of output primitives( curve attributes & area fill attributes)
Attributes of output primitives( curve attributes & area fill attributes)
shalinikarunakaran1
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCE
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCE
Khushboo Pal
Useful Techniques in Artificial Intelligence
Useful Techniques in Artificial Intelligence
Ila Group
OPERATORS OF C++
OPERATORS OF C++
ANANT VYAS
La actualidad más candente
(20)
AI: Learning in AI
AI: Learning in AI
ProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) Introduction
Compare between pop and oop
Compare between pop and oop
Classification of Programming Languages
Classification of Programming Languages
Direct linking loader
Direct linking loader
1.1 The nature of software.ppt
1.1 The nature of software.ppt
Automatic Code Generation
Automatic Code Generation
Nonrecursive predictive parsing
Nonrecursive predictive parsing
Programming Paradigms
Programming Paradigms
Loader
Loader
Multi-agent systems
Multi-agent systems
Formal Specification in Software Engineering SE9
Formal Specification in Software Engineering SE9
Fundamentals of Language Processing
Fundamentals of Language Processing
Unit 5
Unit 5
Procedural programming
Procedural programming
PROCEDURAL ORIENTED PROGRAMMING VS OBJECT ORIENTED PROGRAMING
PROCEDURAL ORIENTED PROGRAMMING VS OBJECT ORIENTED PROGRAMING
Attributes of output primitives( curve attributes & area fill attributes)
Attributes of output primitives( curve attributes & area fill attributes)
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCE
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCE
Useful Techniques in Artificial Intelligence
Useful Techniques in Artificial Intelligence
OPERATORS OF C++
OPERATORS OF C++
Similar a Learning agents
Quality attributes testing. From Architecture to test acceptance
Quality attributes testing. From Architecture to test acceptance
IT Weekend
TDD in functional testing with WebDriver
TDD in functional testing with WebDriver
Mikalai Alimenkou
DSL, Page Object and Selenium – a way to reliable functional tests
DSL, Page Object and Selenium – a way to reliable functional tests
Mikalai Alimenkou
Dal web 2.0 all'E-L 3.0
Dal web 2.0 all'E-L 3.0
Pier Giuseppe
1 Ads
1 Ads
lcbj
Agile Developers Create Their Own Identity[1]
Agile Developers Create Their Own Identity[1]
Surajit Bhuyan
Traversing the Test Pyramid for Android Development
Traversing the Test Pyramid for Android Development
Dubinsky Soares
SW기술 동향과 글로벌 인재양성 방향
SW기술 동향과 글로벌 인재양성 방향
Korea Advanced Institute of Science and Technology
Agile Software Development - a Suvojyoti Presentation
Agile Software Development - a Suvojyoti Presentation
sankhadeep
Clark proposal defense revised091512
Clark proposal defense revised091512
ginnette_clark
Requirements Manager Center of Excellence: “Achieving Goals Without Formaliz...
Requirements Manager Center of Excellence: “Achieving Goals Without Formaliz...
IIBA Rochester NY
Tahseen Experience Resume
Tahseen Experience Resume
Syed Ali
Thucydides – next generation acceptance testing with WebDriver
Thucydides – next generation acceptance testing with WebDriver
Mikalai Alimenkou
Conversion Rate Optimisation - Perth Conference - March 2013
Conversion Rate Optimisation - Perth Conference - March 2013
Scot McAllan
Conversion management conference 2013
Conversion management conference 2013
Scot McAllan
Selenium tutorial to Beginners
Selenium tutorial to Beginners
rajkamaltibacademy
Agile Testing 20021015
Agile Testing 20021015
Raghu Karnati
Test Automation Techniques for Windows Applications
Test Automation Techniques for Windows Applications
Tabăra de Testare
Build java-ee-applications-with-adf
Build java-ee-applications-with-adf
Amit Sharma
_Automation Testing Training in Noida.pptx
_Automation Testing Training in Noida.pptx
APTRON Solutions Noida
Similar a Learning agents
(20)
Quality attributes testing. From Architecture to test acceptance
Quality attributes testing. From Architecture to test acceptance
TDD in functional testing with WebDriver
TDD in functional testing with WebDriver
DSL, Page Object and Selenium – a way to reliable functional tests
DSL, Page Object and Selenium – a way to reliable functional tests
Dal web 2.0 all'E-L 3.0
Dal web 2.0 all'E-L 3.0
1 Ads
1 Ads
Agile Developers Create Their Own Identity[1]
Agile Developers Create Their Own Identity[1]
Traversing the Test Pyramid for Android Development
Traversing the Test Pyramid for Android Development
SW기술 동향과 글로벌 인재양성 방향
SW기술 동향과 글로벌 인재양성 방향
Agile Software Development - a Suvojyoti Presentation
Agile Software Development - a Suvojyoti Presentation
Clark proposal defense revised091512
Clark proposal defense revised091512
Requirements Manager Center of Excellence: “Achieving Goals Without Formaliz...
Requirements Manager Center of Excellence: “Achieving Goals Without Formaliz...
Tahseen Experience Resume
Tahseen Experience Resume
Thucydides – next generation acceptance testing with WebDriver
Thucydides – next generation acceptance testing with WebDriver
Conversion Rate Optimisation - Perth Conference - March 2013
Conversion Rate Optimisation - Perth Conference - March 2013
Conversion management conference 2013
Conversion management conference 2013
Selenium tutorial to Beginners
Selenium tutorial to Beginners
Agile Testing 20021015
Agile Testing 20021015
Test Automation Techniques for Windows Applications
Test Automation Techniques for Windows Applications
Build java-ee-applications-with-adf
Build java-ee-applications-with-adf
_Automation Testing Training in Noida.pptx
_Automation Testing Training in Noida.pptx
Más de Vostrikov Arkady
ZTE Grand S3
ZTE Grand S3
Vostrikov Arkady
Yotaphone 2
Yotaphone 2
Vostrikov Arkady
Render techniques overview
Render techniques overview
Vostrikov Arkady
Portable keyboards
Portable keyboards
Vostrikov Arkady
Monument Valley
Monument Valley
Vostrikov Arkady
Management information systems
Management information systems
Vostrikov Arkady
iPad Pro
iPad Pro
Vostrikov Arkady
Graphene
Graphene
Vostrikov Arkady
Driverless car
Driverless car
Vostrikov Arkady
Doom or boom
Doom or boom
Vostrikov Arkady
Augmented reality glasses
Augmented reality glasses
Vostrikov Arkady
3D editors
3D editors
Vostrikov Arkady
Windows Phone 8
Windows Phone 8
Vostrikov Arkady
Windows 8
Windows 8
Vostrikov Arkady
The battle of browsers
The battle of browsers
Vostrikov Arkady
Robots
Robots
Vostrikov Arkady
Powered exoskeleton
Powered exoskeleton
Vostrikov Arkady
Policing gets smarter
Policing gets smarter
Vostrikov Arkady
OS Windows
OS Windows
Vostrikov Arkady
Nokia Lumia 1020
Nokia Lumia 1020
Vostrikov Arkady
Más de Vostrikov Arkady
(20)
ZTE Grand S3
ZTE Grand S3
Yotaphone 2
Yotaphone 2
Render techniques overview
Render techniques overview
Portable keyboards
Portable keyboards
Monument Valley
Monument Valley
Management information systems
Management information systems
iPad Pro
iPad Pro
Graphene
Graphene
Driverless car
Driverless car
Doom or boom
Doom or boom
Augmented reality glasses
Augmented reality glasses
3D editors
3D editors
Windows Phone 8
Windows Phone 8
Windows 8
Windows 8
The battle of browsers
The battle of browsers
Robots
Robots
Powered exoskeleton
Powered exoskeleton
Policing gets smarter
Policing gets smarter
OS Windows
OS Windows
Nokia Lumia 1020
Nokia Lumia 1020
Learning agents
1.
LEARNING AGENTS
2.
Learning agents
Description of learning agent Structure of learning agent Application scope
3.
Description of learning
agents
4.
Learning agents
Сan adapt to the environment Chooses action upon on precepts history Imporves performance by time
5.
Structure of learning
agent
6.
Structure of learning
agent Performance standard (cost function) Learning element Problem generator Performance element
7.
Structure of learning
agent Performance standard Sensors Critic Learning element Performance element Problem generator Actuators
8.
Application scope
9.
Tasks
Сlustering Classification Prediction etc
10.
Application scope
Search Engines (like google) Computer Vision Self-driving car Recognition of gestures
11.
Learning agents
Improve performance by time Simple structure Solve many problems in AI
12.
LEARNING AGENTS