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Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives
We demonstrate the efficacy and applicability of the logic and the algorithm on several case studies with detailed analyses for each.
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives
We provide proof of the optimality and convergence of our proposed reinforcement learning algorithm.
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