AI Paper Atlas

Research map / Reinforcement learning / Policy gradient and actor-critic

Learning to Perform Local Rewriting for Combinatorial Optimization

NeurIPS 2019 · Reinforcement learning › Policy gradient and actor-critic · approach: Actor-critic theory · 156 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace hand-tuned local heuristics with learned region and rewrite-rule selectionNeuRewriter on Halide expressions · Halide expression simplification testaverage expression length reduction: 50.81 -> 57.28Helped
Replace hand-tuned local heuristics with learned region and rewrite-rule selectionNeuRewriter on Halide expressions · Halide expression simplification testaverage tree size reduction: 15.82 -> 16.71Helped
Learn when to apply uphill rewriting rulesNeuRewriter on Halide expressions · Halide expression simplification testaverage expression length reductionHelped
Iteratively rewrite a complete schedule instead of constructing the schedule from scratchNeuRewriter on job scheduling · Job scheduling, D=20average job slowdown: 10.18 -> 3.94Helped
Use a locally rewritten schedule rather than offline SJF planningNeuRewriter on job scheduling · Job scheduling, D=20average job slowdown: 4.26 -> 3.94Helped
Train on dynamic rather than steady job frequency (ablation)NeuRewriter · Job scheduling, dynamic job frequencyaverage job slowdown: 2.59 -> 2.56Helped
Train on dynamic rather than steady job frequency (ablation)NeuRewriter · Job scheduling, steady job frequencyaverage job slowdown: 3.94 -> 3.99Hurt
Train on uniform rather than non-uniform job resources (ablation)NeuRewriter · Job scheduling, uniform job resourcesaverage job slowdown: 3.13 -> 2.73Helped
Train on uniform rather than non-uniform job resources (ablation)NeuRewriter · Job scheduling, non-uniform job resourcesaverage job slowdown: 3.94 -> 4.05Hurt
Iteratively rewrite an initial route rather than construct a route from scratchNeuRewriter on CVRP · CVRP, VRP20 Cap30average tour length: 6.25 -> 6.16Helped
Use local rewriting rather than OR-Tools route optimizationNeuRewriter on CVRP · CVRP, VRP100 Cap50average tour length: 17.16 -> 16.10Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy