Feasible-Future Decoding Addresses the Viability Gap in VLA Policies

This method addresses the feasibility-likelihood gap in vision-language-action policies, where high-likelihood actions may lead to states where task completion is impossible. It derives a candidate-dependent feasible-future mass to ensure selected actions preserve viable paths to safe completion.