:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meng, Yue, fan, Chuchu
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning Logic in Computer Science
Online Access:	https://arxiv.org/abs/2503.02924
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks
by: Meng, Yue, et al.
Published: (2025)

Value Functions for Temporal Logic: Optimal Policies and Safety Filters
by: So, Oswin, et al.
Published: (2026)

Model Predictive Robustness of Signal Temporal Logic Predicates
by: Lin, Yuanfei, et al.
Published: (2022)

Learning Optimal Strategies for Temporal Tasks in Stochastic Games
by: Bozkurt, Alper Kamil, et al.
Published: (2021)

The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
by: Sälzer, Marco, et al.
Published: (2025)

Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
by: Sharifi, Iman, et al.
Published: (2023)

Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
by: Cornelio, Cristina, et al.
Published: (2024)

Integrating LTL Constraints into PPO for Safe Reinforcement Learning
by: Zhang, Maifang, et al.
Published: (2026)

Shield Synthesis for LTL Modulo Theories
by: Rodriguez, Andoni, et al.
Published: (2024)

Temporal Inductive Logic Reasoning over Hypergraphs
by: Yang, Yuan, et al.
Published: (2022)

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
by: Meli, Daniele, et al.
Published: (2024)

Learning Temporal Logic Predicates from Data with Statistical Guarantees
by: Soroka, Emi, et al.
Published: (2024)

Machine Learning Model Integration with Open World Temporal Logic for Process Automation
by: Aditya, Dyuman, et al.
Published: (2025)

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
by: Meng, Yue, et al.
Published: (2025)

Nl2Hltl2Plan: Scaling Up Natural Language Understanding for Multi-Robots Through Hierarchical Temporal Logic Task Representation
by: Xu, Shaojun, et al.
Published: (2024)

Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
by: Olivieri, Pierriccardo, et al.
Published: (2026)

Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces
by: Chevallier, Mark, et al.
Published: (2025)

Efficient Dynamic Shielding for Parametric Safety Specifications
by: Corsi, Davide, et al.
Published: (2025)

Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning
by: Mukherji, Kaustuv, et al.
Published: (2025)

Neural Logic Networks for Interpretable Classification
by: Perreault, Vincent, et al.
Published: (2025)

Regional, Lattice and Logical Representations of Neural Networks
by: Preto, Sandro, et al.
Published: (2025)

Dual Box Embeddings for the Description Logic EL++
by: Jackermeier, Mathias, et al.
Published: (2023)

Comparing Neural Network Encodings for Logic-based Explainability
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)

Learning Concepts Definable in First-Order Logic with Counting
by: van Bergerem, Steffen
Published: (2019)

Logic Tensor Network-Enhanced Generative Adversarial Network
by: Upreti, Nijesh, et al.
Published: (2026)

Controlling Logical Collapse in LLMs via Algebraic Ontology Projection over F2
by: Miyashita, Hisashi, et al.
Published: (2026)

Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
by: Bizzaro, Davide, et al.
Published: (2025)

GLIDR: Graph-Like Inductive Logic Programming with Differentiable Reasoning
by: Johnson, Blair, et al.
Published: (2025)

Polynomial Surrogate Training for Differentiable Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)

Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
by: He, Haoyuan, et al.
Published: (2022)

Can Transformers Reason Logically? A Study in SAT Solving
by: Pan, Leyan, et al.
Published: (2024)

From Circuit Evidence to Mechanistic Theory: An Inductive Logic Approach
by: Aljaafari, Nura, et al.
Published: (2026)

Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023)

Conditional Logical Message Passing Transformer for Complex Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)

Extracting Formulae in Many-Valued Logic from Deep Neural Networks
by: Zhang, Yani, et al.
Published: (2024)

A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
by: Nunn, Pierre, et al.
Published: (2024)

Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
by: Morishita, Terufumi, et al.
Published: (2024)

Provably Safe Neural Network Controllers via Differential Dynamic Logic
by: Teuber, Samuel, et al.
Published: (2024)

A Foundational Theory of Quantitative Abstraction: Adjunctions, Duality, and Logic for Probabilistic Systems
by: Anwer, Nivar, et al.
Published: (2025)