1 citations · 1 across the 14 of their papers we have counts for
17 papers
Runtime-Incremental Transformer for Reinforcement-Learning-Based Adaptive Control
Giansalvo Cirrincione, Adriano Fagiolini
Learning-based adaptive control of robotic manipulators with non-observable friction memory has been addressed by attention- based meta-controllers whose number of attention heads…
Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning
Zahra Abdalla Elashaal, Afef Hfaiedh, Nahla Khraief +2
Exploration in sparse-reward long-horizon tasks poses significant challenges for reinforcement learning. To address these challenges, we propose a two-level Hierarchical Reinforcem…
When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data
Giansalvo Cirrincione, Filippo Grassia
This work studies the inverse problem of recovering the relative magnitudes of the tension, bending, and bearing loads acting on a crack from its stress-intensity-factor profile al…
Incremental Transformer for Surrogate-Based Inverse Design of Geopolymer Mixtures
Giansalvo Cirrincione, Filippo Grassia
Small-data inverse design is challenging in engineering informatics when observations are heterogeneous, mixed-type, and constrained by physical relations among design variables. T…
Learned Lyapunov Shielding for Adaptive Control
Giansalvo Cirrincione, Adriano Fagiolini
We augment the Slotine--Li adaptive controller for Euler--Lagrange systems with three learned components: a structured-quadratic Lyapunov function \(V_ψ\) whose positive-definitene…
Temporal Attention for Adaptive Control of Euler-Lagrange Systems with Unobservable Memory
Giansalvo Cirrincione, Adriano Fagiolini
Adaptive control of Euler-Lagrange systems is challenging when friction is governed by a finite-horizon internal state that is not directly observable from joint measurements. In t…