ReLA: Representation Learning and Aggregation for Scalable Job Scheduling with Reinforcement Learning
ReLA is an RL scheduler built on structured representation learning and aggregation that learns intra-entity representations using self-attention and convolution, captures inter-entity operation–machine interactions using cross-attention, and aggregates multi-scale representations for parallel actor-based scoring of fe...