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cs.AI2026
Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers
Giovanni Bonetta, Matteo Merler, Davide Zago +2
Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as policies is expensive and brittle: they must be queried at every ste…
cs.AI2023
Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach
Giovanni Bonetta, Davide Zago, Rossella Cancelliere +1
Job scheduling is a well-known Combinatorial Optimization problem with endless applications. Well planned schedules bring many benefits in the context of automated systems: among o…