Saved in:
| Main Authors: | Cirrincione, Giansalvo, Fagiolini, Adriano |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.06934 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Temporal Attention for Adaptive Control of Euler-Lagrange Systems with Unobservable Memory
by: Cirrincione, Giansalvo, et al.
Published: (2026)
by: Cirrincione, Giansalvo, et al.
Published: (2026)
DDCL: Deep Dual Competitive Learning: A Differentiable End-to-End Framework for Unsupervised Prototype-Based Representation Learning
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
Rank, Head-Channel Non-Identifiability, and Symmetry Breaking: A Precise Analysis of Representational Collapse in Transformers
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
On the Geometry of Positional Encodings in Transformers
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
DDCL-INCRT: A Self-Organising Transformer with Hierarchical Prototype Structure (Theoretical Foundations)
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
INCRT: An Incremental Transformer That Determines Its Own Architecture
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
Collapse-Free Prototype Readout Layer for Transformer Encoders
by: Cirrincione, Giansalvo, et al.
Published: (2026)
by: Cirrincione, Giansalvo, et al.
Published: (2026)
The geometry of BERT
by: Bonino, Matteo, et al.
Published: (2025)
by: Bonino, Matteo, et al.
Published: (2025)
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
by: Chen, Donghe, et al.
Published: (2025)
by: Chen, Donghe, et al.
Published: (2025)
Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
by: Pan, Tianyu Bell, et al.
Published: (2025)
by: Pan, Tianyu Bell, et al.
Published: (2025)
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
by: Lopez, Antonio, et al.
Published: (2024)
by: Lopez, Antonio, et al.
Published: (2024)
Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)
by: Ma, Chaolun, et al.
Published: (2022)
Lyapunov Stability Learning with Nonlinear Control via Inductive Biases
by: Lu, Yupu, et al.
Published: (2025)
by: Lu, Yupu, et al.
Published: (2025)
Lyapunov Learning at the Onset of Chaos
by: Benati, Matteo, et al.
Published: (2025)
by: Benati, Matteo, et al.
Published: (2025)
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
by: Bethell, Daniel, et al.
Published: (2024)
by: Bethell, Daniel, et al.
Published: (2024)
Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)
by: Tesfazgi, Samuel, et al.
Published: (2024)
Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts
by: Kwon, Minjae, et al.
Published: (2025)
by: Kwon, Minjae, et al.
Published: (2025)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)
by: Mandal, Udayan, et al.
Published: (2024)
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction
by: Yang, Jielong, et al.
Published: (2024)
by: Yang, Jielong, et al.
Published: (2024)
Lyapunov Neural ODE State-Feedback Control Policies
by: Ip, Joshua Hang Sai, et al.
Published: (2024)
by: Ip, Joshua Hang Sai, et al.
Published: (2024)
Verification-Guided Shielding for Deep Reinforcement Learning
by: Corsi, Davide, et al.
Published: (2024)
by: Corsi, Davide, et al.
Published: (2024)
Actor-Critic Physics-informed Neural Lyapunov Control
by: Wang, Jiarui, et al.
Published: (2024)
by: Wang, Jiarui, et al.
Published: (2024)
Probabilistic Shielding for Safe Reinforcement Learning
by: Court, Edwin Hamel-De le, et al.
Published: (2025)
by: Court, Edwin Hamel-De le, et al.
Published: (2025)
Realizable Continuous-Space Shields for Safe Reinforcement Learning
by: Kim, Kyungmin, et al.
Published: (2024)
by: Kim, Kyungmin, et al.
Published: (2024)
Shielded Deep Reinforcement Learning for Complex Spacecraft Tasking
by: Reed, Robert, et al.
Published: (2024)
by: Reed, Robert, et al.
Published: (2024)
LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models
by: Jena, Amit, et al.
Published: (2025)
by: Jena, Amit, et al.
Published: (2025)
Off Policy Lyapunov Stability in Reinforcement Learning
by: Gill, Sarvan, et al.
Published: (2025)
by: Gill, Sarvan, et al.
Published: (2025)
MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
by: Zhang, Yongwei, et al.
Published: (2025)
by: Zhang, Yongwei, et al.
Published: (2025)
Formally Verified Physics-Informed Neural Control Lyapunov Functions
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
(Un)supervised Learning of Maximal Lyapunov Functions
by: Barreau, Matthieu, et al.
Published: (2024)
by: Barreau, Matthieu, et al.
Published: (2024)
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
by: Zuin, Gianlucca, et al.
Published: (2025)
by: Zuin, Gianlucca, et al.
Published: (2025)
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
by: Liu, Xuan, et al.
Published: (2024)
by: Liu, Xuan, et al.
Published: (2024)
Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids
by: Nekoei, Hadi, et al.
Published: (2025)
by: Nekoei, Hadi, et al.
Published: (2025)
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning
by: Politowicz, Alexander, et al.
Published: (2024)
by: Politowicz, Alexander, et al.
Published: (2024)
Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specifications
by: Mukherjee, Amartya, et al.
Published: (2023)
by: Mukherjee, Amartya, et al.
Published: (2023)
Robust Probabilistic Shielding for Safe Offline Reinforcement Learning
by: Galesloot, Maris F. L., et al.
Published: (2026)
by: Galesloot, Maris F. L., et al.
Published: (2026)
Shielded Reinforcement Learning Under Dynamic Temporal Logic Constraints
by: Yüksel, Sadık Bera, et al.
Published: (2026)
by: Yüksel, Sadık Bera, et al.
Published: (2026)
Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
by: Shi, Zhouxing, et al.
Published: (2024)
by: Shi, Zhouxing, et al.
Published: (2024)
Similar Items
-
Temporal Attention for Adaptive Control of Euler-Lagrange Systems with Unobservable Memory
by: Cirrincione, Giansalvo, et al.
Published: (2026) -
DDCL: Deep Dual Competitive Learning: A Differentiable End-to-End Framework for Unsupervised Prototype-Based Representation Learning
by: Cirrincione, Giansalvo
Published: (2026) -
Rank, Head-Channel Non-Identifiability, and Symmetry Breaking: A Precise Analysis of Representational Collapse in Transformers
by: Cirrincione, Giansalvo
Published: (2026) -
On the Geometry of Positional Encodings in Transformers
by: Cirrincione, Giansalvo
Published: (2026) -
DDCL-INCRT: A Self-Organising Transformer with Hierarchical Prototype Structure (Theoretical Foundations)
by: Cirrincione, Giansalvo
Published: (2026)