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Application of reinforcement learning with continuous state space to ramp metering in real-world conditions.

Kasra RezaeeBaher AbdulhaiHossam Abdelgawad
Published in: ITSC (2012)
Keyphrases
  • reinforcement learning
  • real world conditions
  • continuous state spaces
  • function approximation
  • state space
  • markov decision processes
  • real time
  • machine learning
  • linear programming
  • dynamic environments
  • action space