Managing engineering systems with large state and action spaces through deep reinforcement learning
CP Andriotis, KG Papakonstantinou - Reliability Engineering & System …, 2019 - Elsevier
Decision-making for engineering systems management can be efficiently formulated using
Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs). Typical …
Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs). Typical …
[PDF][PDF] Probabilistic structural performance assessment in hidden damage spaces
CP Andriotis, KG Papakonstantinou - … of Computational Stochastic …, 2018 - researchgate.net
Extended and generalized fragility functions support estimation of multiple damage state
probabilities, based on intensity measure spaces of arbitrary dimensions and longitudinal …
probabilities, based on intensity measure spaces of arbitrary dimensions and longitudinal …
[图书][B] Data Driven Decision Making under Uncertainty for Intelligent Life-Cycle Control of the Built Environment
CP Andriotis - 2019 - search.proquest.com
This dissertation provides novel frameworks for data-driven probabilistic performance-based
assessments and optimal or near-optimal stochastic control strategies for structural …
assessments and optimal or near-optimal stochastic control strategies for structural …