46 citations · 157 across the 30 of their papers we have counts for
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cs.LG2026
Learning to Solve and Optimize by Evolving Code
Veronika Semmelrock, Benedetta Strizzolo, Francesco Zuccato +3
Combinatorial and optimization problems are fundamental to many industrial AI applications. Solving large-scale real-world instances of such problems typically requires careful pro…
cs.LG2021★ 46 cited
A Reinforcement Learning Environment For Job-Shop Scheduling
Pierre Tassel, Martin Gebser, Konstantin Schekotihin
Scheduling is a fundamental task occurring in various automated systems applications, e.g., optimal schedules for machines on a job shop allow for a reduction of production costs a…