80 citations · 173 across the 18 of their papers we have counts for
4 papers · 1 filter
Surveillance Evasion Through Bayesian Reinforcement Learning
Dongping Qi, David Bindel, Alexander Vladimirsky
We consider a task of surveillance-evading path-planning in a continuous setting. An Evader strives to escape from a 2D domain while minimizing the risk of detection (and immediate…
Stochastic Optimal Control of a Sailboat
Cole Miles, Alexander Vladimirsky
In match race sailing, competitors must steer their boats upwind in the presence of unpredictably evolving weather. Combined with the tacking motion necessary to make upwind progre…
Optimal Path-Planning with Random Breakdowns
Marissa Gee, Alexander Vladimirsky
We propose a model for path-planning based on a single performance metric that accurately accounts for the the potential (spatially inhomogeneous) cost of breakdowns and repairs. T…
Optimality and robustness in path-planning under initial uncertainty
Dongping Qi, Adam Dhillon, Alexander Vladimirsky
Classical deterministic optimal control problems assume full information about the controlled process. The theory of control for general partially-observable processes is powerful,…