TY - DATA
T1 - Data underlying the publication: Timely Adaptive Strategies for Fugitive Interception
PY - 2024/11/25
AU - Irene van Droffelaar
UR - 
DO - 10.4121/fa299948-661f-4003-a4c1-a4f3a6bb2809.v1
KW - fugitive interception
KW - online optimization
KW - direct policy search
KW - policy tree optimization
N2 - <p>This repository is part of the Ph.D. thesis of Irene S. van Droffelaar, Delft University of Technology.</p><p><br></p><p>This repository accompanies the paper "Timely Adaptive Strategies for Fugitive Interception".</p><p><br></p><p>Folders <em>DirectPolicySearch, OneShot, PeriodicReOpt, and PolicyTreeOpt</em> contain the models and results for each of the solution approaches used in the paper. Each folder contains the folders <em>testgraph, grid</em>, and <em>city</em>. Each of those contains the runfiles, model files, and HPC results.</p><p><br></p><ul><li>DirectPolicySearch</li><li>testgraph</li><li class="ql-indent-2">results_HPC/</li><li class="ql-indent-2">fugitive_interception_model_city.py</li><li class="ql-indent-2">run_city.py</li><li class="ql-indent-1">run_experiment_city.py</li><li class="ql-indent-1">grid</li><li class="ql-indent-1">city</li><li>OneShot</li><li>PeriodicReOpt</li><li>PolicyTreeOpt</li></ul><p><br></p><p>The optimization algorithm can be found under<em> platypus-fork.zip</em>.</p>
ER -