Coordinating Human-UAV Teams in Disaster Response
Authors: Feng Wu, Sarvapali D. Ramchurn, Xiaoping Chen
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our empirical results confirm that our algorithm significantly outperforms the state-of-the-art both in time and solution quality. We empirically evaluated our algorithm using a benchmark simulator for disaster response and show that our algorithm outperforms the leading POMDP solver (i.e., POMCP) in the bench-mark domain with faster runtime and better solution quality. |
| Researcher Affiliation | Academia | Feng Wu Sarvapali D. Ramchurn Xiaoping Chen Computer Science and Technology, University of Science and Technology of China, Hefei, China Electronics and Computer Science, University of Southampton, Southampton, UK wufeng02@ustc.edu.cn, sdr1@soton.ac.uk, xpchen@ustc.edu.cn |
| Pseudocode | Yes | Algorithm 1: Simulation-Based Task Planning |
| Open Source Code | No | No statement regarding the release of open-source code or a link to a code repository was found. |
| Open Datasets | Yes | To evaluate our algorithm, we extended an existing benchmark simulator used to develop prototypes for real-world studies [Ramchurn et al., 2015c]. |
| Dataset Splits | No | The paper does not explicitly provide details about training/test/validation dataset splits (e.g., percentages, sample counts, or specific split files). |
| Hardware Specification | Yes | A machine with a 3.50GHz Intel Core i7 CPU and 8GB RAM was used to produce the results. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers used for its implementation. |
| Experiment Setup | No | The paper mentions varying the number of simulations and running algorithms 1000 times, but does not provide specific hyperparameter values or detailed training configurations for the experimental setup. |