Language Classification of Hierarchical Planning Problems. - Daniel Höller; Gregor Behnke; Pascal Bercher; Susanne Biundo (ECAI, 2014)

A Planning-Based Assistance System for Setting Up a Home Theater. - Pascal Bercher; Felix Richter 001; Thilo Hörnle; Thomas Geier; Daniel Höller; Gregor Behnke; Florian Nothdurft; Frank Honold; Wolfgang Minker; Michael Weber 001; Susanne Biundo (AAAI, 2015)

On the Complexity of HTN Plan Verification and Its Implications for Plan Recognition. - Gregor Behnke; Daniel Höller; Susanne Biundo (ICAPS, 2015)

User-Centered Planning - A Discussion on Planning in the Presence of Human Users. - Pascal Bercher; Daniel Höller; Gregor Behnke; Susanne Biundo (ISCT, 2015)

Bound to Plan: Exploiting Classical Heuristics via Automatic Translations of Tail-Recursive HTN Problems. - Ron Alford; Gregor Behnke; Daniel Höller; Pascal Bercher; Susanne Biundo; David W. Aha (ICAPS, 2016)

Change the Plan - How Hard Can That Be? - Gregor Behnke; Daniel Höller; Pascal Bercher; Susanne Biundo (ICAPS, 2016)

Assessing the Expressivity of Planning Formalisms through the Comparison to Formal Languages. - Daniel Höller; Gregor Behnke; Pascal Bercher; Susanne Biundo (ICAPS, 2016)

More than a Name? On Implications of Preconditions and Effects of Compound HTN Planning Tasks. - Pascal Bercher; Daniel Höller; Gregor Behnke; Susanne Biundo (ECAI, 2016)

Interview with David E. Smith. - Pascal Bercher; Daniel Höller (Künstliche Intell., 2016)

Special Issue on Companion Technologies. - Susanne Biundo; Daniel Höller; Pascal Bercher (Künstliche Intell., 2016)

Companion-Technology: An Overview. - Susanne Biundo; Daniel Höller; Bernd Schattenberg; Pascal Bercher (Künstliche Intell., 2016)

This Is a Solution! (... But Is It Though?) - Verifying Solutions of Hierarchical Planning Problems. - Gregor Behnke; Daniel Höller; Susanne Biundo (ICAPS, 2017)

Help me make a dinner! Challenges when assisting humans in action planning. - Gregor Behnke; Benedikt Leichtmann; Pascal Bercher; Daniel Höller; Verena Nitsch; Martin Baumann 001; Susanne Biundo (ICCT, 2017)

An Admissible HTN Planning Heuristic. - Pascal Bercher; Gregor Behnke; Daniel Höller; Susanne Biundo (IJCAI, 2017)

User-Centered Planning. - Pascal Bercher; Daniel Höller; Gregor Behnke; Susanne Biundo (Companion Technology, 2017)

Advanced User Assistance for Setting Up a Home Theater. - Pascal Bercher; Felix Richter 001; Thilo Hörnle; Thomas Geier; Daniel Höller; Gregor Behnke; Florian Nielsen; Frank Honold; Felix Schüssel; Stephan Reuter; Wolfgang Minker; Michael Weber 001; et al. (Companion Technology, 2017)

totSAT - Totally-Ordered Hierarchical Planning Through SAT. - Gregor Behnke; Daniel Höller; Susanne Biundo (AAAI, 2018)

Plan and Goal Recognition as HTN Planning. - Daniel Höller; Pascal Bercher; Gregor Behnke; Susanne Biundo (AAAI Workshops, 2018)

A Generic Method to Guide HTN Progression Search with Classical Heuristics. - Daniel Höller; Pascal Bercher; Gregor Behnke; Susanne Biundo (ICAPS, 2018)

Tracking Branches in Trees - A Propositional Encoding for Solving Partially-Ordered HTN Planning Problems. - Gregor Behnke; Daniel Höller; Susanne Biundo (ICTAI, 2018)

Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN Planning. - Gregor Behnke; Daniel Höller; Susanne Biundo (AAAI, 2019)

Finding Optimal Solutions in HTN Planning - A SAT-based Approach. - Gregor Behnke; Daniel Höller; Susanne Biundo (IJCAI, 2019)

A Survey on Hierarchical Planning - One Abstract Idea, Many Concrete Realizations. - Pascal Bercher; Ron Alford; Daniel Höller (IJCAI, 2019)

On Guiding Search in HTN Planning with Classical Planning Heuristics. - Daniel Höller; Pascal Bercher; Gregor Behnke; Susanne Biundo (IJCAI, 2019)

Hierarchical Planning in the IPC. - Daniel Höller; Gregor Behnke; Pascal Bercher; Susanne Biundo; Humbert Fiorino; Damien Pellier; Ronald Alford (CoRR, 2019)

HDDL - A Language to Describe Hierarchical Planning Problems. - Daniel Höller; Gregor Behnke; Pascal Bercher; Susanne Biundo; Humbert Fiorino; Damien Pellier; Ronald Alford (CoRR, 2019)

On Succinct Groundings of HTN Planning Problems. - Gregor Behnke; Daniel Höller; Alexander Schmid 003; Pascal Bercher; Susanne Biundo (AAAI, 2020)

HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems. - Daniel Höller; Gregor Behnke; Pascal Bercher; Susanne Biundo; Humbert Fiorino; Damien Pellier; Ron Alford (AAAI, 2020)

Generating Instructions at Different Levels of Abstraction. - Arne Köhn; Julia Wichlacz; Álvaro Torralba; Daniel Höller; Jörg Hoffmann 001; Alexander Koller (COLING, 2020)

Delete- and Ordering-Relaxation Heuristics for HTN Planning. - Daniel Höller; Pascal Bercher; Gregor Behnke (IJCAI, 2020)

HTN Plan Repair via Model Transformation. - Daniel Höller; Pascal Bercher; Gregor Behnke; Susanne Biundo (KI, 2020)

Tracking the Race Between Deep Reinforcement Learning and Imitation Learning. - Timo P. Gros; Daniel Höller; Jörg Hoffmann 001; Verena Wolf (QEST, 2020)

Applying Monte-Carlo Tree Search in HTN Planning. - Julia Wichlacz; Daniel Höller; Álvaro Torralba; Jörg Hoffmann 001 (SOCS, 2020)

Tracking the Race Between Deep Reinforcement Learning and Imitation Learning - Extended Version. - Timo P. Gros; Daniel Höller; Jörg Hoffmann 001; Verena Wolf (CoRR, 2020)

HTN Planning as Heuristic Progression Search. - Daniel Höller; Pascal Bercher; Gregor Behnke; Susanne Biundo (J. Artif. Intell. Res., 2020)

Landmark Generation in HTN Planning. - Daniel Höller; Pascal Bercher (AAAI, 2021)

Translating Totally Ordered HTN Planning Problems to Classical Planning Problems Using Regular Approximation of Context-Free Languages. - Daniel Höller (ICAPS, 2021)

Loop Detection in the PANDA Planning System. - Daniel Höller; Gregor Behnke (ICAPS, 2021)

Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning. - Pascal Lauer; Álvaro Torralba; Daniel Fiser; Daniel Höller; Julia Wichlacz; Jörg Hoffmann 001 (IJCAI, 2021)

DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning. - Timo P. Gros; Daniel Höller; Jörg Hoffmann 001; Michaela Klauck; Hendrik Meerkamp; Verena Wolf (QEST, 2021)

Landmark Heuristics for Lifted Planning - Extended Abstract. - Julia Wichlacz; Daniel Höller; Jörg Hoffmann 001 (SOCS, 2021)

Report on the First and Second Workshops on Hierarchical Planning Held at the International Conference on Automated Planning and Scheduling. - Pascal Bercher; Daniel Höller; Gregor Behnke; Susanne Biundo; Vikas Shivashankar; Ron Alford (AI Mag., 2021)

The PANDA Framework for Hierarchical Planning. - Daniel Höller; Gregor Behnke; Pascal Bercher; Susanne Biundo (Künstliche Intell., 2021)

Making Translations to Classical Planning Competitive with Other HTN Planners. - Gregor Behnke; Florian Pollitt; Daniel Höller; Pascal Bercher; Ron Alford (AAAI, 2022)

Encoding Lifted Classical Planning in Propositional Logic. - Daniel Höller; Gregor Behnke (ICAPS, 2022)

Compiling HTN Plan Verification Problems into HTN Planning Problems. - Daniel Höller; Julia Wichlacz; Pascal Bercher; Gregor Behnke (ICAPS, 2022)

Debugging a Policy: Automatic Action-Policy Testing in AI Planning. - Marcel Steinmetz; Daniel Fiser; Hasan Ferit Eniser; Patrick Ferber; Timo P. Gros; Philippe Heim; Daniel Höller; Xandra Schuler; Valentin Wüstholz; Maria Christakis; Jörg Hoffmann 001 (ICAPS, 2022)

Landmark Heuristics for Lifted Classical Planning. - Julia Wichlacz; Daniel Höller; Jörg Hoffmann 001 (IJCAI, 2022)

A Landmark-Cut Heuristic for Lifted Optimal Planning. - Julia Wichlacz; Daniel Höller; Daniel Fiser; Jörg Hoffmann 001 (ECAI, 2023)

Hierarchical Planning: Expressivity Analysis, Solving Techniques, and Problem Compilations. - Daniel Höller (2023)

DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning - Extended Version. - Timo P. Gros; Joschka Groß; Daniel Höller; Jörg Hoffmann 001; Michaela Klauck; Hendrik Meerkamp; Nicola J. Müller; Lukas Schaller; Verena Wolf (ACM Trans. Model. Comput. Simul., 2023)

Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages. - Timo P. Gros; Nicola J. Müller; Daniel Höller; Verena Wolf (Principles of Verification (3), 2024)

Decision-Focused Learning to Predict Action Costs for Planning. - Jayanta Mandi; Marco Foschini; Daniel Höller; Sylvie Thiébaux; Jörg Hoffmann 001; Tias Guns (ECAI, 2024)

New Fuzzing Biases for Action Policy Testing. - Jan Eisenhut; Xandra Schuler; Daniel Fiser; Daniel Höller; Maria Christakis; Jörg Hoffmann 001 (ICAPS, 2024)

Explaining the Space of SSP Policies via Policy-Property Dependencies: Complexity, Algorithms, and Relation to Multi-Objective Planning. - Marcel Steinmetz; Sylvie Thiébaux; Daniel Höller; Florent Teichteil-Königsbuch (ICAPS, 2024)

Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions. - Songtuan Lin; Daniel Höller; Pascal Bercher (SOCS, 2024)

The TOAD System for Totally Ordered HTN Planning. - Daniel Höller (J. Artif. Intell. Res., 2024)