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Topic: AI-based Problem Solving and Planning ×

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Papers in AI-based Problem Solving and Planning 11

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Learning Lifted Action Models from Traces of Incomplete Actions and States
2025 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Héctor Geffner

1

citations
Learning More Expressive General Policies for Classical Planning Domains
2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science AI-based Problem Solving and Planning Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning Lifted STRIPS Models from Action Traces alone: A Simple, General, and Scalable Solution
2025 Proceedings of the International Conference on Automated Planning and Scheduling conference-paper Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Héctor Geffner

0

citations
Agent Planning Programs as Non-deterministic Planning under Fairness
2025 Proceedings of the International Conference on Automated Planning and Scheduling conference-paper Computer Science AI-based Problem Solving and Planning Open access

Nitin Yadav, Sebastian Sardiña, Héctor Geffner

0

citations
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
2025 International Joint Conference on Artificial Intelligence conference-paper Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

0

citations
Simple Numeric Planning with Two Variables Is Decidable
2025 Frontiers in artificial intelligence and applications book-chapter Computer Science AI-based Problem Solving and Planning Open access

Hayyan Helal, Gerhard Lakemeyer

0

citations
Learning General Policies from Examples
2025 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Blai Bonet, Héctor Geffner

0

citations
Automated planning instance generation with neuro-symbolic AI
2025 Artificial Intelligence article Computer Science AI-based Problem Solving and Planning Open access

Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

0

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
2025 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Zhong-Ci Shi, Zhiwei Xu, Pengjie Ren, Zhaochun Ren, Zhumin Chen

0

citations
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
2025 Underline Science Inc. other Computer Science AI-based Problem Solving and Planning Open access

0

citations

11 results