3 papers
cs.AI2024
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…
cs.LG2024
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…
math.OC2023
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…