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cs.AI2026
VLA Grounder: Language-Conditioning Space Optimization for Black-Box VLA Models
Damir Shodiev, Aleksei Staroverov, Nikita Kachaev +2
Vision-Language-Action (VLA) models are commonly treated as end-to-end action policies conditioned on natural-language task descriptions. In practice, however, their behavior often…
cs.AI2026
Imagine to Ensure Safety in Hierarchical Reinforcement Learning
Gregory Gorbov, Artem Latyshev, Aleksandr I. Panov
This work investigates the safe exploration problem in reinforcement learning, where an agent must maximize cumulative performance while simultaneously satisfying safety constraint…