Estimating the Probability of Meeting a Deadline in Hierarchical Plans

Authors: Liat Cohen, Solomon Eyal Shimony, Gera Weiss

IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We examine our approximation bounds in practice, and compare the results to exact computation of the CDF and to a simple stochastic sampling scheme. Three types of task trees are used in this evaluation: task trees used as execution plans for the ROBIL team entry in the DARPA robotics challenge (DRC simulation phase, http://in.bgu.ac.il/en/Pages/news/darpa.aspx), linear plans (seq), and plans for the Logistics domain (from IPC2 http://ipc.icaps-conference.org/). ... Results for a typical indicative subset (regretfully reduced due to page limits) are shown in table 1.
Researcher Affiliation Academia Liat Cohen and Solomon Eyal Shimony and Gera Weiss Computer Science Department Ben Gurion University of The Negev Beer-Sheva, Israel 84105 {liati,shimony,geraw}@cs.bgu.ac.il
Pseudocode Yes Algorithm 1: Sequence (X1, . . . , Xn , ε) ... Algorithm 2: Network(τ, ε)
Open Source Code No The paper does not state that the source code for their proposed methodology is publicly available or provide a link to a repository.
Open Datasets Yes Three types of task trees are used in this evaluation: task trees used as execution plans for the ROBIL team entry in the DARPA robotics challenge (DRC simulation phase, http://in.bgu.ac.il/en/Pages/news/darpa.aspx), linear plans (seq), and plans for the Logistics domain (from IPC2 http://ipc.icaps-conference.org/).
Dataset Splits No The paper discusses evaluation results but does not explicitly provide details on training, validation, or test dataset splits (e.g., percentages or sample counts) for reproducibility.
Hardware Specification No The paper does not provide specific hardware details (e.g., CPU/GPU models, memory) used for running its experiments.
Software Dependencies No The paper mentions using the JSHOP2 planner but does not provide specific version numbers for any software dependencies required to reproduce the experiments.
Experiment Setup Yes The primitive task distributions were uniform distributions discretized to M values. ... We ran the exact algorithm, our approximation algorithm with ε {0.1, 0.01, 0.001}, and a simple simulation with 103 to 107 samples (number of samples is denoted by s in the table).