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News/Efficient Test-time Inference for Generative Planning Models
arxiv
PublishedJune 2, 2026 at 4:00 AM
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Efficient Test-time Inference for Generative Planning Models

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2606.00618v1 Announce Type: new Abstract: Generative models have emerged as a powerful paradigm for AI planning, yet their performance remains constrained by the training data distribution. One approach is to improve generated solutions during inference by scaling test-time compute. A more eff

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Discussion
Mentioned models
02
  • 01
    generative model
  • 02
    heuristic model
Source
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arxiv
Read original ↗All from arxiv →
Tags
03
#planning#inference#optimization

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Mentioned models
02
  • 01
    generative model
  • 02
    heuristic model
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#planning#inference#optimization

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation2harxivCounterfactual Model Testing Under Distribution Shift2harxivCentralized Critics for N-Agent Ad Hoc Teamwork2harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning2h
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