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cs.AI2026
Dual Process Motion Planning
Jiayi Yan, Francesco Fabiano, Alessandro Abate
Robotic systems are deeply embedded in both industry and everyday life, where they are expected to act with speed, precision, and reliability. Classical control and planning method…
cs.AI2026
Robust Shielding for Safe Reinforcement Learning
Edwin Hamel-De le Court, Thom Badings, Alessandro Abate +2
Shielding is an effective approach to formally guarantee the safety of reinforcement learning agents in Markov decision processes (MDPs). However, existing shielding techniques typ…
cs.AI2025
Best-Effort Policies for Robust Markov Decision Processes
Alessandro Abate, Thom Badings, Giuseppe De Giacomo +1
We study the common generalization of Markov decision processes (MDPs) with sets of transition probabilities, known as robust MDPs (RMDPs). A standard goal in RMDPs is to compute a…