4 citations · 7 across the 3 of their papers we have counts for
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cs.LG2022★ 3 cited
Safe Policy Improvement in Constrained Markov Decision Processes
Luigi Berducci, Radu Grosu
The automatic synthesis of a policy through reinforcement learning (RL) from a given set of formal requirements depends on the construction of a reward signal and consists of the i…
cs.LG2021★ 4 cited
Hierarchical Potential-based Reward Shaping from Task Specifications
Luigi Berducci, Edgar A. Aguilar, Dejan Ničković +1
The automatic synthesis of policies for robotic-control tasks through reinforcement learning relies on a reward signal that simultaneously captures many possibly conflicting requir…