2026
Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories
RSS 2026poster
Scaling robot learning to long-horizon tasks remains a formidable challenge. While end-to-end policies often lack the structural priors needed for effective long-term reasoning, traditional neuro-symbolic methods rely heavily on hand-crafted symbolic priors. To address the issue, we introduce ENAP (…