Difference between revisions of "Multiobjective Reinforcement Learning Algorithms Elevator Group Control"

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(Created page with "{{Project | title=Multiobjective Reinforcement Learning Algorithms Elevator Group Control | short_descr=The goal of the project is to study MO RL algorithms and to apply them...")
 
 
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{{Project | title=Multiobjective Reinforcement Learning Algorithms Elevator Group Control
 
{{Project | title=Multiobjective Reinforcement Learning Algorithms Elevator Group Control
 
  | short_descr=The goal of the project is to study MO RL algorithms and to apply them on an intelligent system for elevator group control.
 
  | short_descr=The goal of the project is to study MO RL algorithms and to apply them on an intelligent system for elevator group control.
 +
| coordinator=MarcelloRestelli
 
  | tutor=MarcelloRestelli
 
  | tutor=MarcelloRestelli
 
  | students=SimoneParisi;NicolaSmacchia
 
  | students=SimoneParisi;NicolaSmacchia
  | resarea=Reinforcement Learning
+
  | resarea=Machine Learning
 
  | restopic=Multiobjective Optimization
 
  | restopic=Multiobjective Optimization
  | start=2013/04/16 | end=
+
  | start=16/04/2013
 +
| end=
 
  | level=Ms
 
  | level=Ms
 
  | type=Thesis
 
  | type=Thesis
 
  | status=Active | image= }}
 
  | status=Active | image= }}
 +
 +
Dopo uno studio dello stato dell'arte si analizzeranno nuovi possibili algoritmi RL per problemi MO e si testeranno sul problema di controllo di un gruppo di ascensori.

Latest revision as of 23:59, 23 April 2013

Multiobjective Reinforcement Learning Algorithms Elevator Group Control
Short Description: The goal of the project is to study MO RL algorithms and to apply them on an intelligent system for elevator group control.
Coordinator: MarcelloRestelli (restelli@elet.polimi.it)
Tutor: MarcelloRestelli (restelli@elet.polimi.it)
Collaborator:
Students: SimoneParisi (simone.parisi@polimi.it), NicolaSmacchia (nicola.smacchia@polimi.it)
Research Area: Machine Learning
Research Topic: Multiobjective Optimization
Start: 16/04/2013
Status: Active
Level: Ms
Type: Thesis

Dopo uno studio dello stato dell'arte si analizzeranno nuovi possibili algoritmi RL per problemi MO e si testeranno sul problema di controllo di un gruppo di ascensori.