msp package

Subpackages

• msp.datasets package
  • Module contents
• msp.graphs package
  • Module contents
• msp.layers package
  • Module contents
• msp.models package
  • Subpackages
    • msp.models.decoders package
      • Module contents
    • msp.models.encoders package
      • Module contents
  • Module contents
• msp.rl_algorithm package
  • Module contents
• msp.solvers package
  • Module contents
• msp.utils package
  • Submodules
  • msp.utils.configs module
  • msp.utils.metric module
  • msp.utils.objective module
  • Module contents

Module contents

Machine Scheduling Problem (MSP) module based on Deep Refinforcement Learning (DRL) for Python ==================================

msp is a Python module tightly based on tensorflow (deep learning famework). It has been built to solve the machine schudling problem (NP-Hard) during the research internship at ‘The Computer Science, Modeling and Optimization of Systems Laboratory (LIMOS)’ in Clermont-Ferrand, France.