Instruction giving in the Minecraft domain
This page collects resources for the Minecraft instruction giving project of the SFB1102 at Saarland university. We investigate ways to dynamically create building instructions for users.
MC-Saar-Instruct
MC-Saar-Instruct is our experiment platform. It allows participants to connect to a Minecraft server with a standard Minecraft client and participate in an instruction-giving experiment.
Publications
-
Lucia Donatelli, Theresa Schmidt, Debanjali Biswas,
Arne K ̈ohn, Fangzhou Zhai, Alexander Koller.
“Aligning Actions Across Recipe Graphs”.
in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
-
Julia Wichlacz, Daniel Höller, and Joerg Hoffmann.
“Landmark Heuristics for Lifted Planning – Extended Abstract”.
to appear in Proceedings of the 13th International Symposium on Combinatorial Search (SoCS) 2021
-
Pascal Lauer, Alvaro Torralba, Daniel Fiser, Daniel Höller, Julia Wichlacz, and Joerg Hoffmann.
“Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning”.
to appear in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021
-
Daniel Höller.
“Translating Totally Ordered HTN Planning Problems to Classical Planning Problems Using Regular Approximation of Context-Free Languages”.
in Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS) 2021
-
Daniel Höller and Gregor Behnke.
“Loop Detection in the PANDA Planning System”.
in Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS) 2021
-
Daniel Höller and Pascal Bercher.
“Landmark Generation in HTN Planning”.
in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI) 2021, also presented at the HPlan Workshop at ICAPS 2020
-
Daniel Höller, Gregor Behnke, Pascal Bercher, and Susanne Biundo.
“The PANDA Framework for Hierarchical Planning”.
in KI — Künstliche Intelligenz 2021
-
Arne Köhn, Julia Wichlacz, Álvaro Torralba, Daniel Höller, Joerg Hoffmann and Alexander Koller.
“Generating Instructions at Different Levels of Abstraction”.
in Proceedings of COLING 2020
-
Arne Köhn, Julia Wichlacz, Christine Schäfer, Álvaro Torralba, Joerg Hoffmann and Alexander Koller.
“MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents”.
in Proceedings of SIGDIAL 2020
-
Daniel Höller, Pascal Bercher, and Gregor Behnke.
”Delete- and Ordering-Relaxation Heuristics for HTN Planning”.
in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI) 2020, also presented at the HPlan Workshop at ICAPS 2020
-
Daniel Höller, Pascal Bercher, Gregor Behnke, and Susanne Biundo.
”HTN Plan Repair via Model Transformation”.
in Proceedings of the 43rd German Conference on Artificial Intelligence (KI) 2020
-
Julia Wichlacz, Daniel Höller, Álvaro Torralba and Jörg Hoffmann.
“Applying Monte-Carlo Tree Search in HTN Planning”.
Proceedings of the 13th Annual Symposium on Combinatorial Search (SOCS), 2020, also presented at the HPlan Workshop at ICAPS 2020
-
Arne Köhn and Alexander Koller.
“Talking about what is not there: Generating indefinite referring expressions in Minecraft”.
in Proceedings of iNLG 2019
-
Julia Wichlacz, Álvaro Torralba and Jörg Hoffmann.
“Construction-Planning Models in Minecraft”.
Proceedings of the 2nd Workshop on Hierarchical Planning, at ICAPS'19