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

MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents. - Arne Köhn; Julia Wichlacz; Christine Schäfer; Álvaro Torralba; Jörg Hoffmann 001; Alexander Koller (SIGdial, 2020)

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

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)

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

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