Author

Cameron S. Allen

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Efficient Search by Tentatively Pruning Objects from Planning Tasks

This work introduces tentative object pruning, an approach that leverages this property by constructing multiple simplified tasks with reduced object sets and searching them in parallel until a valid, satisficing solution is found.

Anita de Mello Koch, Naman Shah, Cameron S. Allen et al. · 0 citations

#machine learning Preprint Aug 2026

Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents

EvalXRL is a benchmark in which a Large Language Model (LLM) coding agent uses different XRL methods to diagnose a held-out malfunction in an RL agent, and then repair it, and proposes the first head-to-head comparison of multiple XRL methods in closed-loop usage.

Ram Rachum, Yotam Amitai, Bálint Gyevnár et al. · 0 citations