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schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments.

Constantin Waubert de PuiseauJannik PetersChristian DörpelkusTobias Meisen
Published in: CoRR (2023)
Keyphrases
  • reinforcement learning
  • main contribution
  • databases
  • search engine
  • programming language
  • multi agent
  • probabilistic model
  • state space
  • load balancing
  • function approximation
  • open source software
  • resource constraints