Neural surrogates enable a four-stage alternating algorithm for nonlocal mean-field Schrödinger bridges with linear scaling and Gronwall stability bounds.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
A fuzzy temporal logic for motion planning that elevates paths to first-class citizens with quantitative satisfaction degrees to support intuitive human specs and learning from data.
This review synthesizes existing RL-MPC integration methods for linear systems into a taxonomy across RL roles, algorithms, MPC formulations, costs, and domains while identifying recurring patterns and practical challenges.
citing papers explorer
-
Nonlocal Mean Field Schr\"{o}dinger Bridge with Learned Interactions
Neural surrogates enable a four-stage alternating algorithm for nonlocal mean-field Schrödinger bridges with linear scaling and Gronwall stability bounds.
-
Logic of Fuzzy Paths
A fuzzy temporal logic for motion planning that elevates paths to first-class citizens with quantitative satisfaction degrees to support intuitive human specs and learning from data.
-
A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
This review synthesizes existing RL-MPC integration methods for linear systems into a taxonomy across RL roles, algorithms, MPC formulations, costs, and domains while identifying recurring patterns and practical challenges.