:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pannacci, Matteo, Fanti, Andrea, Umili, Elena, Capobianco, Roberto
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.09761
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeepDFA: Automata Learning through Neural Probabilistic Relaxations
by: Umili, Elena, et al.
Published: (2024)

DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications
by: Umili, Elena, et al.
Published: (2026)

Neural Reward Machines
by: Umili, Elena, et al.
Published: (2024)

Zero-Shot Instruction Following in RL via Structured LTL Representations
by: Jackermeier, Mathias, et al.
Published: (2026)

Zero-Shot Instruction Following in RL via Structured LTL Representations
by: Giuri, Mattia, et al.
Published: (2025)

Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2025)

DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
by: Jackermeier, Mathias, et al.
Published: (2024)

Fully Learnable Neural Reward Machines
by: Dewidar, Hazem, et al.
Published: (2025)

Neuro-Symbolic Predictive Process Monitoring
by: Mezini, Axel, et al.
Published: (2025)

PlatoLTL: Learning to Generalize Across Symbols in LTL Instructions for Multi-Task RL
by: Cloete, Jacques, et al.
Published: (2026)

Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
by: Pignatelli, Eduardo, et al.
Published: (2024)

Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions
by: Abate, Alessandro, et al.
Published: (2026)

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
by: Ciatto, Giovanni, et al.
Published: (2025)

OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference
by: Choi, Won-Seok, et al.
Published: (2025)

Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
by: Liu, Shuai, et al.
Published: (2026)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
by: Liu, Fei, et al.
Published: (2024)

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)

BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
by: Lee, Sangyun, et al.
Published: (2025)

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution
by: Patel, Sara, et al.
Published: (2025)

Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping
by: Nazir, Mohammad Saif, et al.
Published: (2025)

Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
by: Batra, Sumeet, et al.
Published: (2024)

Value-Based Pre-Training with Downstream Feedback
by: Ke, Shuqi, et al.
Published: (2026)

Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)

Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
by: Marincione, Davide, et al.
Published: (2025)

Symbolic Representation for Any-to-Any Generative Tasks
by: Chen, Jiaqi, et al.
Published: (2025)

Regret-Free Reinforcement Learning for LTL Specifications
by: Majumdar, Rupak, et al.
Published: (2024)

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025)

DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
by: Garcin, Samuel, et al.
Published: (2024)

Provable Zero-Shot Generalization in Offline Reinforcement Learning
by: Wang, Zhiyong, et al.
Published: (2025)

Automatic Generation of High-Performance RL Environments
by: Karten, Seth, et al.
Published: (2026)

LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
by: Gude, Adrián, et al.
Published: (2025)

Zero-Shot Visual Generalization in Robot Manipulation
by: Batra, Sumeet, et al.
Published: (2025)

Softened Symbol Grounding for Neuro-symbolic Systems
by: Li, Zenan, et al.
Published: (2024)

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
by: Chen, Huiqiang, et al.
Published: (2025)

Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference
by: Fang, Juntao, et al.
Published: (2026)

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)

Zero-Shot Decentralized Federated Learning
by: Masano, Alessio, et al.
Published: (2025)

On Zero-Shot Reinforcement Learning
by: Jeen, Scott
Published: (2025)

Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
by: Liu, Ruijia, et al.
Published: (2025)

ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)