This paper introduces Voronoi Progressive Widening (VPW), a generalization of Voronoi
optimistic optimization (VOO) and action progressive widening to partially observable …

Corrosion is one of the major causes of failure in pipelines for transporting oil and gas
products. To mitigate the impact of this problem, organizations perform different …

Real-world planning problems, including autonomous driving and sustainable energy
applications like carbon storage and resource exploration, have recently been modeled as …

While mixed-integer convex programs (MICPs) arise frequently in mixed-integer optimal
control problems (MIOCPs), current state-of-the-art MICP solvers are often too slow for real …

The optimal design of a wind farm which maximizes energy production depends on the
spatially variable wind flow field. However, due to the complexity associated with modeling …

In this article, we consider the computational and communication challenges of partially
observable multiagent sequential decision-making problems. We present algorithms that …

Planning is an extraordinary ability in which the brain imagines and then enacts evaluated
possible futures. Using traditional planning models, computer scientists have attempted to …

Balancing exploration and exploitation has long been recognized as an important theme in
the online planning algorithms for POMDP problems. Explorative actions on one hand …

Online POMDP solvers search for the optimal policy based on multiple simulations. When
scaling to large problems, more simulations typically lead to better results, but also more …

Sequential decision making under uncertainty problems often deal with partially observable
Markov decision processes (POMDPs). POMDPs mathematically capture making decisions …