From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “learning planning” 39

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

0

citations
Learning Sketch Decompositions in Planning via Deep Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

0

citations
A Unifying Framework for Reinforcement Learning and Planning
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

1

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Héctor Geffner

0

citations
Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Simon Ståhlberg, Martin Funkquist, Hector Geffner

0

citations
Differentiable Learning of Lifted Action Schemas for Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Reiter, Jakob Elias Gebler, Hector Geffner

0

citations
Learning More Expressive General Policies for Classical Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
2024 preprint Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Nadine Bergner

0

citations
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
2024 preprint Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Nadine Bergner

0

citations
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

6

citations
Symmetries and Expressive Requirements for Learning General Policies
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Dominik Drexler, Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning to Ground Existentially Quantified Goals
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Martin Funkquist, Simon Ståhlberg, Héctor Geffner

0

citations
Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Héctor Geffner

0

citations
Extracting Rules from Event Data for Study Planning
2023 arXiv (Cornell University) preprint Computer Science Online Learning and Analytics Open access

Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, +1 more

1

citations
Transfer Learning and Curriculum Learning in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

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
Towards fully automated Inner Ear Analysis: Deep-Learning-based Joint Segmentation and Landmark Detection Framework
2022 Research Square preprint Computer Science Medical Image Segmentation Techniques Open access

Jannik Stebani, Martin Blaimer, Simon Zabler, Tilmann Neun, Daniël M. Pelt, Kristen Rak

0

citations
Model-based Reinforcement Learning: A Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

82

citations
Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink

0

citations
Learning to Use Tools via Cooperative and Interactive Agents
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, +3 more

1

citations
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

5

citations
General Policies, Subgoal Structure, and Planning Width
2023 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Blai Bonet, Héctor Geffner

0

citations
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Gösgens, Niklas Jansen, Hector Geffner

0

citations