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A NOVEL MULTI-AGENT REINFORCEMENT LEARNING APPROACH FOR JOB ...


 
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A NOVEL MULTI-AGENT REINFORCEMENT LEARNING APPROACH FOR JOB ...

A NOVEL MULTI-AGENT REINFORCEMENT LEARNING APPROACH FOR JOB ...

... PARALLEL AND DISTRIBUTED COMPUTING 66 (1) (2006) 145161. [22] M. BRUGNOLI, E. HEYMANN, M.A. SENAR, GRID SCHEDULING BASED ON COLLABORATIVE RANDOM EARLY ... ...
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A COMPREHENSIVE SURVEY OF MULTI-AGENT REINFORCEMENT LEARNING

A COMPREHENSIVE SURVEY OF MULTI-AGENT REINFORCEMENT LEARNING

... 1 A COMPREHENSIVE SURVEY OF MULTI-AGENT REINFORCEMENT LEARNING LUCIAN BUSONIU, ROBERT BABU SKA, BART DE SCHUTTER ABSTRACTMULTI-AGENT SYSTEMS ARE RAPIDLY NDING ... ...
  •   Filetype: PDF.     Date Shared: 1970-01-01
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A MULTI-AGENT APPROACH FOR RISK ANALYSIS IMPROVEMENT BASED ON ...

A MULTI-AGENT APPROACH FOR RISK ANALYSIS IMPROVEMENT BASED ON ...

... INDUSTRIAL PROCESSES AND THEIR SAFETY ISSUES. INDEX TERMS AGENT-ORIENTED APPROACH, FMEA, FIPA, MULTI- AGENT SYSTEM, OREDA, FAULT CONTROL, RISK ANALYSIS, SAFETY. ...
  •   Filetype: PDF.     Date Shared: 2014-05-17
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ML-KNN: A LAZY LEARNING APPROACH TO MULTI-LABEL LEARNING

ML-KNN: A LAZY LEARNING APPROACH TO MULTI-LABEL LEARNING

... GENE FUNCTIONAL ANALYSIS, NATURAL SCENE CLASSIFICATION AND AUTOMATIC WEB PAGE CATEGORIZATION, SHOW THAT ML-KNN ACHIEVES SUPERIOR PERFORMANCE TO SOME ... ...
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A MODEL DRIVEN APPROACH TO DEVELOP MULTI-AGENT SYSTEMS

A MODEL DRIVEN APPROACH TO DEVELOP MULTI-AGENT SYSTEMS

... PROJECT, RAPPORT INTERNE 01-002, UNIVERSIT ET INSA DE ROUEN, 2002. KINNY, D. THE # CALCULUS: AN ALGEBRAIC AGENT LANGUAGE. IN: INTELLIGENT AGENTS. ...
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A COORDINATED MDP APPROACH TO MULTI-AGENT PLANNING FOR RESOURCE ...

A COORDINATED MDP APPROACH TO MULTI-AGENT PLANNING FOR RESOURCE ...

... CONSUMER IS REPRESENTED BY AN INDEPENDENT MDP-BASED AGENT THAT MODELS EXPECTED ... FULL MMDP IS BROKEN INTO N MDPS, ONE FOR EACH CONSUMER. WE CALL THESE . ...
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MULTI-AGENT REAL-TIME PURSUIT

MULTI-AGENT REAL-TIME PURSUIT

... ABSTRACT IN THIS PAPER, WE ADDRESS THE PROBLEM OF MULTI-AGENT PURSUIT IN ... WITH MULTIPLE COORDINATED AGENTS CALLED MULTI-AGENT PURSUIT, ON WHICH THERE IS NOT. ...
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REINFORCEMENT LEARNING AND FUNCTION APPROXIMATION - COMPUTER ...

REINFORCEMENT LEARNING AND FUNCTION APPROXIMATION - COMPUTER ...

... RELATIONAL REINFORCEMENT LEARNING COMBINES TRADITIONAL REIN- FORCEMENT ... EARLIER WORK USED RELATIONAL REINFORCEMENT LEARNING ON A LEARNING VERSION OF THE. ...
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GAME THEORY AND DECISION THEORY IN MULTI-AGENT SYSTEMS

GAME THEORY AND DECISION THEORY IN MULTI-AGENT SYSTEMS

... THIS SPECIAL ISSUE OF AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS BY REVIEWING THE ... OF AN AGENT IN A MULTI-AGENT ENCOUNTER, AND HOW PROTOCOLS OR MECHANISMS. ...
  •   Filetype: PDF.     Date Shared: 1970-01-01
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A JOB SCHEDULING APPROACH FOR MULTI-CORE CLUSTERS BASED ON VIRTUAL ...

A JOB SCHEDULING APPROACH FOR MULTI-CORE CLUSTERS BASED ON VIRTUAL ...

... CLUSTERS BASED ON VIRTUAL MALLEABILITY. GLADYS UTRERA1, SIHAM TABIK2, JULITA CORBALAN1, AND JESS LABARTA3. 1 TECHNICAL UNIVERSITY OF CATALONIA (UPC) 08034 ... ...
  •   Filetype: PDF.     Date Shared: 1970-01-01
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