82 citations · 197 across the 9 of their papers we have counts for
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cs.AI2023★ 3 cited
Learning Logic Specifications for Soft Policy Guidance in POMCP
Giulio Mazzi, Daniele Meli, Alberto Castellini +1
Partially Observable Monte Carlo Planning (POMCP) is an efficient solver for Partially Observable Markov Decision Processes (POMDPs). It allows scaling to large state spaces by com…
cs.RO2023★ 13 cited
Logic programming for deliberative robotic task planning
Daniele Meli, Hirenkumar Nakawala, Paolo Fiorini
Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments including humans, robo…