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State space exploration using feedback constraint generation and Monte-Carlo sampling.

Sriram SankaranarayananRichard M. ChangGuofei JiangFranjo Ivancic
Published in: ESEC/SIGSOFT FSE (2007)
Keyphrases
  • monte carlo sampling
  • state space
  • reinforcement learning
  • markov chain
  • particle filter
  • machine learning
  • dynamic programming
  • optimal policy