Guardado en:
| Autores principales: | Benyamin, Yarin, Mordoch, Argaman, Shperberg, Shahaf S., Stern, Roni |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2509.12987 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks
por: Benyamin, Yarin, et al.
Publicado: (2025)
por: Benyamin, Yarin, et al.
Publicado: (2025)
RAMP: Hybrid DRL for Online Learning of Numeric Action Models
por: Benyamin, Yarin, et al.
Publicado: (2026)
por: Benyamin, Yarin, et al.
Publicado: (2026)
Learning Safe Numeric Planning Action Models
por: Mordoch, Argaman, et al.
Publicado: (2023)
por: Mordoch, Argaman, et al.
Publicado: (2023)
Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
por: Mordoch, Argaman, et al.
Publicado: (2024)
por: Mordoch, Argaman, et al.
Publicado: (2024)
EvoGPT: Leveraging LLM-Driven Seed Diversity to Improve Search-Based Test Suite Generation
por: Broide, Lior, et al.
Publicado: (2025)
por: Broide, Lior, et al.
Publicado: (2025)
From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution
por: Erez, Lidor, et al.
Publicado: (2026)
por: Erez, Lidor, et al.
Publicado: (2026)
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search
por: Hadar, Gal, et al.
Publicado: (2025)
por: Hadar, Gal, et al.
Publicado: (2025)
Playing Angry Birds with a Domain-Independent PDDL+ Planner
por: Piotrowski, Wiktor, et al.
Publicado: (2021)
por: Piotrowski, Wiktor, et al.
Publicado: (2021)
Planning and Acting While the Clock Ticks
por: Coles, Andrew, et al.
Publicado: (2024)
por: Coles, Andrew, et al.
Publicado: (2024)
On Parallel External-Memory Bidirectional Search
por: Siag, Lior, et al.
Publicado: (2024)
por: Siag, Lior, et al.
Publicado: (2024)
Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics
por: Shperberg, Shahaf S., et al.
Publicado: (2025)
por: Shperberg, Shahaf S., et al.
Publicado: (2025)
Learning Interpretable Classifiers for PDDL Planning
por: Lequen, Arnaud
Publicado: (2024)
por: Lequen, Arnaud
Publicado: (2024)
Real-World Planning with PDDL+ and Beyond
por: Piotrowski, Wiktor, et al.
Publicado: (2024)
por: Piotrowski, Wiktor, et al.
Publicado: (2024)
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
por: Agostinelli, Forest, et al.
Publicado: (2021)
por: Agostinelli, Forest, et al.
Publicado: (2021)
Compiling Temporal Numeric Planning into Discrete PDDL+: Extended Version
por: Micheli, Andrea, et al.
Publicado: (2026)
por: Micheli, Andrea, et al.
Publicado: (2026)
End-to-end PDDL Planning with Hardcoded and Dynamic Agents
por: La Malfa, Emanuele, et al.
Publicado: (2025)
por: La Malfa, Emanuele, et al.
Publicado: (2025)
Budget Allocation Policies for Real-Time Multi-Agent Path Finding
por: Beck, Raz, et al.
Publicado: (2025)
por: Beck, Raz, et al.
Publicado: (2025)
GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
por: Murray, Andrew, et al.
Publicado: (2026)
por: Murray, Andrew, et al.
Publicado: (2026)
Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies
por: Chen, Dillon Z., et al.
Publicado: (2025)
por: Chen, Dillon Z., et al.
Publicado: (2025)
Agentic LLM Planning via Step-Wise PDDL Simulation: An Empirical Characterisation
por: Göbel, Kai, et al.
Publicado: (2026)
por: Göbel, Kai, et al.
Publicado: (2026)
BPMN to PDDL: Translating Business Workflows for AI Planning
por: Nie, Jasper, et al.
Publicado: (2025)
por: Nie, Jasper, et al.
Publicado: (2025)
Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
por: Stein, Katharina, et al.
Publicado: (2023)
por: Stein, Katharina, et al.
Publicado: (2023)
The Universal PDDL Domain
por: Haslum, Patrik, et al.
Publicado: (2024)
por: Haslum, Patrik, et al.
Publicado: (2024)
From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation
por: Nabizada, Hamied, et al.
Publicado: (2026)
por: Nabizada, Hamied, et al.
Publicado: (2026)
Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding
por: Yakovlev, Konstantin, et al.
Publicado: (2024)
por: Yakovlev, Konstantin, et al.
Publicado: (2024)
Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
por: Nabizada, Hamied, et al.
Publicado: (2025)
por: Nabizada, Hamied, et al.
Publicado: (2025)
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding
por: Shabalin, Carmel, et al.
Publicado: (2024)
por: Shabalin, Carmel, et al.
Publicado: (2024)
The Latency Wall: Benchmarking Off-the-Shelf Emotion Recognition for Real-Time Virtual Avatars
por: Benyamin, Yarin
Publicado: (2026)
por: Benyamin, Yarin
Publicado: (2026)
Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World
por: Chao, James, et al.
Publicado: (2023)
por: Chao, James, et al.
Publicado: (2023)
Aligning LLM+PDDL Symbolic Plans with Human Objective Specifications through Evolutionary Algorithm Guidance
por: Burns, Owen, et al.
Publicado: (2024)
por: Burns, Owen, et al.
Publicado: (2024)
Generating consistent PDDL domains with Large Language Models
por: Smirnov, Pavel, et al.
Publicado: (2024)
por: Smirnov, Pavel, et al.
Publicado: (2024)
Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields
por: Pertzovsky, Arseniy, et al.
Publicado: (2025)
por: Pertzovsky, Arseniy, et al.
Publicado: (2025)
Transient Multi-Agent Path Finding for Lifelong Navigation in Dense Environments
por: Morag, Jonathan, et al.
Publicado: (2024)
por: Morag, Jonathan, et al.
Publicado: (2024)
From An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle
por: Vyas, Kaustubh, et al.
Publicado: (2024)
por: Vyas, Kaustubh, et al.
Publicado: (2024)
An Extensive Evaluation of PDDL Capabilities in off-the-shelf LLMs
por: Vyas, Kaustubh, et al.
Publicado: (2025)
por: Vyas, Kaustubh, et al.
Publicado: (2025)
Model-based Workflow for the Automated Generation of PDDL Descriptions
por: Nabizada, Hamied, et al.
Publicado: (2024)
por: Nabizada, Hamied, et al.
Publicado: (2024)
Effort Allocation for Deadline-Aware Task and Motion Planning: A Metareasoning Approach
por: Sung, Yoonchang, et al.
Publicado: (2024)
por: Sung, Yoonchang, et al.
Publicado: (2024)
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
por: Zhang, Beiqi, et al.
Publicado: (2024)
por: Zhang, Beiqi, et al.
Publicado: (2024)
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
por: Wu, Zhiyong, et al.
Publicado: (2024)
por: Wu, Zhiyong, et al.
Publicado: (2024)
PDDL Axioms Are Equivalent to Least Fixed Point Logic (Extended Version)
por: Grundke, Claudia, et al.
Publicado: (2025)
por: Grundke, Claudia, et al.
Publicado: (2025)
Ejemplares similares
-
Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks
por: Benyamin, Yarin, et al.
Publicado: (2025) -
RAMP: Hybrid DRL for Online Learning of Numeric Action Models
por: Benyamin, Yarin, et al.
Publicado: (2026) -
Learning Safe Numeric Planning Action Models
por: Mordoch, Argaman, et al.
Publicado: (2023) -
Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
por: Mordoch, Argaman, et al.
Publicado: (2024) -
EvoGPT: Leveraging LLM-Driven Seed Diversity to Improve Search-Based Test Suite Generation
por: Broide, Lior, et al.
Publicado: (2025)