REACH is claimed to improve task completion by up to 17%, double high-priority success, and cut bandwidth penalties by over 80% in simulations of community GPU scheduling.
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REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
REACH is claimed to improve task completion by up to 17%, double high-priority success, and cut bandwidth penalties by over 80% in simulations of community GPU scheduling.