2 papers
cs.LG2026
FIRM-WM: State-factorized factual-interventional recurrent modeling for reward-free visual planning
Yilun Wu, Yunjian Zhang, Aobo Li +3
Reward-free latent world models can learn from offline videos and solve new image--goal tasks by optimizing actions through predicted latent futures. This setting places two demand…
cs.RO2026
GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning
Kun Wang, Yiming Li, Mingcheng Qu +3
Implicit spatial relations and deep semantic structures encoded in object attributes are crucial for procedural planning in embodied AI systems. However, existing approaches often…