Symphony uses a domain-driven Bayesian network as an inductive bias in an RL scheduler, dramatically cutting training data needs while beating black-box methods.
The NN produces a scheduling decision that is actuated in the system
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Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Symphony uses a domain-driven Bayesian network as an inductive bias in an RL scheduler, dramatically cutting training data needs while beating black-box methods.