Copertina

Learning Interpretable Classifiers for PDDL Planning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Lequen, Arnaud
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Homomorphisms and Embeddings of STRIPS Planning Models
di: Lequen, Arnaud, et al.
Pubblicazione: (2024)

LLM-Evolved Pattern Generators for Optimal Classical Planning
di: Phung, Windy, et al.
Pubblicazione: (2026)

Toward PDDL Planning Copilot
di: Benyamin, Yarin, et al.
Pubblicazione: (2025)

Real-World Planning with PDDL+ and Beyond
di: Piotrowski, Wiktor, et al.
Pubblicazione: (2024)

Homomorphisms and Embeddings of STRIPS Planning Models
di: Arnaud Lequen, et al.
Pubblicazione: (2024)

Compiling Temporal Numeric Planning into Discrete PDDL+: Extended Version
di: Micheli, Andrea, et al.
Pubblicazione: (2026)

End-to-end PDDL Planning with Hardcoded and Dynamic Agents
di: La Malfa, Emanuele, et al.
Pubblicazione: (2025)

GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
di: Murray, Andrew, et al.
Pubblicazione: (2026)

Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies
di: Chen, Dillon Z., et al.
Pubblicazione: (2025)

Agentic LLM Planning via Step-Wise PDDL Simulation: An Empirical Characterisation
di: Göbel, Kai, et al.
Pubblicazione: (2026)

Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
di: Stein, Katharina, et al.
Pubblicazione: (2023)

From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation
di: Nabizada, Hamied, et al.
Pubblicazione: (2026)

Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
di: Mordoch, Argaman, et al.
Pubblicazione: (2024)

The Universal PDDL Domain
di: Haslum, Patrik, et al.
Pubblicazione: (2024)

BPMN to PDDL: Translating Business Workflows for AI Planning
di: Nie, Jasper, et al.
Pubblicazione: (2025)

Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
di: Nabizada, Hamied, et al.
Pubblicazione: (2025)

From An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle
di: Vyas, Kaustubh, et al.
Pubblicazione: (2024)

Playing Angry Birds with a Domain-Independent PDDL+ Planner
di: Piotrowski, Wiktor, et al.
Pubblicazione: (2021)

Generating consistent PDDL domains with Large Language Models
di: Smirnov, Pavel, et al.
Pubblicazione: (2024)

Aligning LLM+PDDL Symbolic Plans with Human Objective Specifications through Evolutionary Algorithm Guidance
di: Burns, Owen, et al.
Pubblicazione: (2024)

PDDL Axioms Are Equivalent to Least Fixed Point Logic (Extended Version)
di: Grundke, Claudia, et al.
Pubblicazione: (2025)

Model-based Workflow for the Automated Generation of PDDL Descriptions
di: Nabizada, Hamied, et al.
Pubblicazione: (2024)

An Extensive Evaluation of PDDL Capabilities in off-the-shelf LLMs
di: Vyas, Kaustubh, et al.
Pubblicazione: (2025)

Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs
di: Riefolo, Christian, et al.
Pubblicazione: (2024)

Interpretable and Fair Mechanisms for Abstaining Classifiers
di: Lenders, Daphne, et al.
Pubblicazione: (2025)

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking
di: Zhu, Wang Bill, et al.
Pubblicazione: (2026)

PIP-LLM: Integrating PDDL-Integer Programming with LLMs for Coordinating Multi-Robot Teams Using Natural Language
di: Shi, Guangyao, et al.
Pubblicazione: (2025)

Real-World Cooking Robot System from Recipes Based on Food State Recognition Using Foundation Models and PDDL
di: Kanazawa, Naoaki, et al.
Pubblicazione: (2024)

Demystifying MuZero Planning: Interpreting the Learned Model
di: Guei, Hung, et al.
Pubblicazione: (2024)

Interpreting Emergent Planning in Model-Free Reinforcement Learning
di: Bush, Thomas, et al.
Pubblicazione: (2025)

Closed-Form Interpretation of Neural Network Classifiers with Symbolic Gradients
di: Wetzel, Sebastian Johann
Pubblicazione: (2024)

Interpretable Action Recognition on Hard to Classify Actions
di: Anichenko, Anastasia, et al.
Pubblicazione: (2024)

LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner
di: Zhang, Xiaopan, et al.
Pubblicazione: (2024)

Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers
di: Xie, Roy, et al.
Pubblicazione: (2024)

Evolving Interpretable Visual Classifiers with Large Language Models
di: Chiquier, Mia, et al.
Pubblicazione: (2024)

Margin-calibrated Classifier Guidance for Property-driven Synthesis Planning
di: Laabid, Najwa, et al.
Pubblicazione: (2026)

LCA: Local Classifier Alignment for Continual Learning
di: Tran, Tung, et al.
Pubblicazione: (2026)

Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
di: Poupart, Yoann
Pubblicazione: (2024)

Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
di: Yenicesu, Arda Sarp, et al.
Pubblicazione: (2024)

Grounded Vision-Language Interpreter for Integrated Task and Motion Planning
di: Siburian, Jeremy, et al.
Pubblicazione: (2025)