Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].

Complexity Results in Epistemic Planning

Authors: Thomas Bolander, Martin Holm Jensen, Francois Schwarzentruber

IJCAI 2015 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We provide complexity results on the plan existence problem for multi-agent planning tasks, focusing on purely epistemic actions with propositional preconditions.
Researcher Affiliation Academia Thomas Bolander DTU Compute Tech. University of Denmark Copenhagen, Denmark EMAIL Martin Holm Jensen DTU Compute Tech. University of Denmark Copenhagen, Denmark EMAIL Francois Schwarzentruber IRISA ENS Rennes Rennes, France EMAIL
Pseudocode Yes Figure 3: Non-deterministic algorithm for the plan existence problem. procedure Plan Exists (s0, {α1, . . . , αm}, ϕg), B a) Guess a vector (k1, . . . , km) {0, . . . , B}m. b) Accept when s0 |= α1 k1 αm kmϕg.
Open Source Code No The paper does not provide any statement or link indicating the availability of open-source code for the described methodology.
Open Datasets No This is a theoretical paper and does not use or evaluate models on datasets. Therefore, no information about public dataset availability is provided.
Dataset Splits No This is a theoretical paper and does not involve experimental validation on datasets, thus no dataset split information for training/validation is provided.
Hardware Specification No This is a theoretical paper and does not report on experiments requiring specific hardware; therefore, no hardware specifications are mentioned.
Software Dependencies No This is a theoretical paper and does not involve empirical experiments requiring specific software dependencies with version numbers.
Experiment Setup No This is a theoretical paper and does not include experimental setups, hyperparameters, or training configurations.