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Coding agents synthesize programs for generalized task and motion planning

huggingface.co by Matteo Merler et al. Editor score 8/10

The study evaluates 980 agent-generated programs across 98,000 held-out episodes in 28 simulated environments to test generalization to unseen planning instances. Its scale and focus on frozen programs make it useful for assessing coding agents beyond familiar software tasks.

What

Coding agents synthesize programs for generalized task and motion planning, aiming to reuse regularities across problem instances.

Method

Agents use a task description and simulator access to develop programs within a fixed budget; frozen programs are evaluated on unseen instances.

Why it matters

The study reports all three agent configurations outperforming the tested planning baselines in mean success on 16 environments.

Read on huggingface.co → Code · 13 stars

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