4 citations · 4 across the 2 of their papers we have counts for
3 papers
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management
Pranay Thangeda, Trevor S. Betz, Michael N. Grussing +1
Efficient management of infrastructure systems is crucial for economic stability, sustainability, and public safety. However, infrastructure sustainment is challenging due to the v…
Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning
Manav Vora, Jonas Liang, Michael N. Grussing +1
Monotonic Partially Observable Markov Decision Processes (POMDPs), where the system state progressively decreases until a restorative action is performed, can be used to model sequ…
Welfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs
Manav Vora, Pranay Thangeda, Michael N. Grussing +1
Partially Observable Markov Decision Processes (POMDPs) provide an efficient way to model real-world sequential decision making processes. Motivated by the problem of maintenance a…