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.
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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.
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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.
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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.