Delete Relaxations for Planning with State-Dependent Action Costs
Authors: Florian Geißer, Thomas Keller, Robert Mattmüller
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | To evaluate hadd on planning tasks with SDAC, we have implemented the heuristic in the 2014 version of the PROST planner and compared it against the standard heuristic of PROST on the ACADEMIC ADVISING domain.The last three rows show the average results of PROST across 100 runs for each instance, based on different heuristics, with a 1-second timeout for each planning step. |
| Researcher Affiliation | Academia | Florian Geißer and Thomas Keller and Robert Mattm uller University of Freiburg, Germany {geisserf,tkeller,mattmuel}@informatik.uni-freiburg.de |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. It describes methods using mathematical definitions and textual explanations. |
| Open Source Code | No | The paper mentions that EVMDDs are created by the 'open source MDD library MEDDLY' and provides a link for it, but it does not provide concrete access to the source code for the methodology described in this paper (their implementation of hadd or the PROST planner modifications). |
| Open Datasets | Yes | We apply this procedure to the ACADEMIC ADVISING domain [Guerin et al., 2012] and compare the results with the standard heuristic of the PROST planner [Keller and Eyerich, 2012], a state-of-the-art planning system for MDPs. |
| Dataset Splits | No | The paper evaluates on 'instances' of the ACADEMIC ADVISING domain and shows average results across 100 runs for each instance, but it does not specify explicit training, validation, or test dataset splits (e.g., percentages or sample counts). |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | Yes | To evaluate hadd on planning tasks with SDAC, we have implemented the heuristic in the 2014 version of the PROST planner and compared it against the standard heuristic of PROST on the ACADEMIC ADVISING domain.EVMDDs are created by the open source MDD library MEDDLY [Badar and Miner, 2011]. |
| Experiment Setup | Yes | The last three rows show the average results of PROST across 100 runs for each instance, based on different heuristics, with a 1-second timeout for each planning step.Both IDS and hadd are applied to the most-likely determinization. |