activity
20232026
most citedAssessing the Interpretability of Programmatic Policies with Large Language Models

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.AI2026

Structure-Induced Information for Rerooting Levin Tree Search

Jake Tuero, Michael Buro, Laurent Orseau +1

Subgoal-based policy tree search, which uses a policy to guide search, is effective for complex single-agent deterministic problems but often relies on explicit subgoal generation…

cs.LG2026

Gradient-Based Program Synthesis with Neurally Interpreted Languages

Matthew V. Macfarlane, Clément Bonnet, Herke van Hoof +1

A central challenge in program induction has long been the trade-off between symbolic and neural approaches. Symbolic methods offer compositional generalisation and data efficiency…