Guardado en:
| Autores principales: | Pannacci, Matteo, Fanti, Andrea, Umili, Elena, Capobianco, Roberto |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.09761 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DeepDFA: Automata Learning through Neural Probabilistic Relaxations
por: Umili, Elena, et al.
Publicado: (2024)
por: Umili, Elena, et al.
Publicado: (2024)
DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications
por: Umili, Elena, et al.
Publicado: (2026)
por: Umili, Elena, et al.
Publicado: (2026)
Neural Reward Machines
por: Umili, Elena, et al.
Publicado: (2024)
por: Umili, Elena, et al.
Publicado: (2024)
Zero-Shot Instruction Following in RL via Structured LTL Representations
por: Jackermeier, Mathias, et al.
Publicado: (2026)
por: Jackermeier, Mathias, et al.
Publicado: (2026)
Zero-Shot Instruction Following in RL via Structured LTL Representations
por: Giuri, Mattia, et al.
Publicado: (2025)
por: Giuri, Mattia, et al.
Publicado: (2025)
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
por: Marconato, Emanuele, et al.
Publicado: (2025)
por: Marconato, Emanuele, et al.
Publicado: (2025)
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
por: Jackermeier, Mathias, et al.
Publicado: (2024)
por: Jackermeier, Mathias, et al.
Publicado: (2024)
Fully Learnable Neural Reward Machines
por: Dewidar, Hazem, et al.
Publicado: (2025)
por: Dewidar, Hazem, et al.
Publicado: (2025)
Neuro-Symbolic Predictive Process Monitoring
por: Mezini, Axel, et al.
Publicado: (2025)
por: Mezini, Axel, et al.
Publicado: (2025)
PlatoLTL: Learning to Generalize Across Symbols in LTL Instructions for Multi-Task RL
por: Cloete, Jacques, et al.
Publicado: (2026)
por: Cloete, Jacques, et al.
Publicado: (2026)
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
por: Pignatelli, Eduardo, et al.
Publicado: (2024)
por: Pignatelli, Eduardo, et al.
Publicado: (2024)
Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions
por: Abate, Alessandro, et al.
Publicado: (2026)
por: Abate, Alessandro, et al.
Publicado: (2026)
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
por: Ciatto, Giovanni, et al.
Publicado: (2025)
por: Ciatto, Giovanni, et al.
Publicado: (2025)
OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference
por: Choi, Won-Seok, et al.
Publicado: (2025)
por: Choi, Won-Seok, et al.
Publicado: (2025)
Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
por: Liu, Shuai, et al.
Publicado: (2026)
por: Liu, Shuai, et al.
Publicado: (2026)
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
por: Liu, Fei, et al.
Publicado: (2024)
por: Liu, Fei, et al.
Publicado: (2024)
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
por: Scassola, Davide, et al.
Publicado: (2023)
por: Scassola, Davide, et al.
Publicado: (2023)
BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
por: Lee, Sangyun, et al.
Publicado: (2025)
por: Lee, Sangyun, et al.
Publicado: (2025)
MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution
por: Patel, Sara, et al.
Publicado: (2025)
por: Patel, Sara, et al.
Publicado: (2025)
Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping
por: Nazir, Mohammad Saif, et al.
Publicado: (2025)
por: Nazir, Mohammad Saif, et al.
Publicado: (2025)
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
por: Batra, Sumeet, et al.
Publicado: (2024)
por: Batra, Sumeet, et al.
Publicado: (2024)
Value-Based Pre-Training with Downstream Feedback
por: Ke, Shuqi, et al.
Publicado: (2026)
por: Ke, Shuqi, et al.
Publicado: (2026)
Zero-Shot Robustification of Zero-Shot Models
por: Adila, Dyah, et al.
Publicado: (2023)
por: Adila, Dyah, et al.
Publicado: (2023)
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
por: Marincione, Davide, et al.
Publicado: (2025)
por: Marincione, Davide, et al.
Publicado: (2025)
Symbolic Representation for Any-to-Any Generative Tasks
por: Chen, Jiaqi, et al.
Publicado: (2025)
por: Chen, Jiaqi, et al.
Publicado: (2025)
Regret-Free Reinforcement Learning for LTL Specifications
por: Majumdar, Rupak, et al.
Publicado: (2024)
por: Majumdar, Rupak, et al.
Publicado: (2024)
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
por: Christopher, Jacob K., et al.
Publicado: (2025)
por: Christopher, Jacob K., et al.
Publicado: (2025)
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
por: Garcin, Samuel, et al.
Publicado: (2024)
por: Garcin, Samuel, et al.
Publicado: (2024)
Provable Zero-Shot Generalization in Offline Reinforcement Learning
por: Wang, Zhiyong, et al.
Publicado: (2025)
por: Wang, Zhiyong, et al.
Publicado: (2025)
Automatic Generation of High-Performance RL Environments
por: Karten, Seth, et al.
Publicado: (2026)
por: Karten, Seth, et al.
Publicado: (2026)
LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
por: Gude, Adrián, et al.
Publicado: (2025)
por: Gude, Adrián, et al.
Publicado: (2025)
Zero-Shot Visual Generalization in Robot Manipulation
por: Batra, Sumeet, et al.
Publicado: (2025)
por: Batra, Sumeet, et al.
Publicado: (2025)
Softened Symbol Grounding for Neuro-symbolic Systems
por: Li, Zenan, et al.
Publicado: (2024)
por: Li, Zenan, et al.
Publicado: (2024)
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
por: Chen, Huiqiang, et al.
Publicado: (2025)
por: Chen, Huiqiang, et al.
Publicado: (2025)
Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
por: Fang, Juntao, et al.
Publicado: (2026)
por: Fang, Juntao, et al.
Publicado: (2026)
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
por: Shindo, Hikaru, et al.
Publicado: (2024)
por: Shindo, Hikaru, et al.
Publicado: (2024)
Zero-Shot Decentralized Federated Learning
por: Masano, Alessio, et al.
Publicado: (2025)
por: Masano, Alessio, et al.
Publicado: (2025)
On Zero-Shot Reinforcement Learning
por: Jeen, Scott
Publicado: (2025)
por: Jeen, Scott
Publicado: (2025)
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
por: Liu, Ruijia, et al.
Publicado: (2025)
por: Liu, Ruijia, et al.
Publicado: (2025)
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
por: Meindl, Jamison, et al.
Publicado: (2025)
por: Meindl, Jamison, et al.
Publicado: (2025)
Ejemplares similares
-
DeepDFA: Automata Learning through Neural Probabilistic Relaxations
por: Umili, Elena, et al.
Publicado: (2024) -
DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications
por: Umili, Elena, et al.
Publicado: (2026) -
Neural Reward Machines
por: Umili, Elena, et al.
Publicado: (2024) -
Zero-Shot Instruction Following in RL via Structured LTL Representations
por: Jackermeier, Mathias, et al.
Publicado: (2026) -
Zero-Shot Instruction Following in RL via Structured LTL Representations
por: Giuri, Mattia, et al.
Publicado: (2025)