• DESPOT

  • Referenced in 3 articles [sw27455]
  • provides a principled general framework for planning under uncertainty, but solving POMDPs optimally is computationally ... standard belief tree, for online planning under uncertainty. A DESPOT focuses online planning...
  • POMDPS

  • Referenced in 34 articles [sw03055]
  • Online planning algorithms for POMDPS. Partially Observable Markov Decision Processes (POMDPs) provide a rich framework ... sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP is often intractable...
  • PEORL

  • Referenced in 3 articles [sw29437]
  • planning relies on manually crafted symbolic knowledge, which may not be robust to domain uncertainties ... unified framework {em PEORL} that integrates symbolic planning with hierarchical reinforcement learning (HRL) to cope ... making in a dynamic environment with uncertainties. Symbolic plans are used to guide the agent...
  • QUESO

  • Referenced in 21 articles [sw10555]
  • programming constructs supporting research into the uncertainty quantification (UQ) of models and their predictions ... some UQ concepts, present QUESO, and list planned enhancements...
  • SimMan

  • Referenced in 3 articles [sw02017]
  • model for the workforce capacity planning problem, where the uncertainty of the demand is handled ... also suggest a number of practical planning alternatives and assignment rules based on information from...
  • BDI-POMDP

  • Referenced in 6 articles [sw03092]
  • paradigm, with explicit representation of team plans. Despite their promise, current BDI team approaches lack ... tools for quantitative performance analysis under uncertainty. Distributed partially observable Markov decision problems (POMDPs ... hybrid BDI-POMDP approach, where BDI team plans are exploited to improve POMDP tractability ... POMDP analysis improves BDI team plan performance. Concretely, we focus on role allocation, a fundamental...
  • OpenMORDM

  • Referenced in 2 articles [sw33385]
  • support bottom-up environmental systems planning under deep uncertainty with a focus on many-objective ... software application programming interface (API) for connecting planning models to computational exploration tools for many...
  • SSLP

  • Referenced in 1 article [sw17581]
  • stage strategic supply chain planning problems under uncertainty by Alonso-Ayuso et al. [5] with...
  • Open TURNS

  • Referenced in 4 articles [sw12837]
  • different sections of this paper: uncertainty quantification, uncertainty propagation, sensitivity analysis and metamodeling. A section ... gives an overview of the main developments planned for the next few years...
  • FLIP

  • Referenced in 3 articles [sw00298]
  • under uncertainty and imprecision. In order to support this conclusion, a land-use planning problem...
  • CasCADe

  • Referenced in 1 article [sw27247]
  • construction plans of an Oil & Gas process plant. The system made evident schedule uncertainties, identified...
  • smif

  • Referenced in 1 article [sw28806]
  • order to explore the effects of uncertainty in external factors and model parameterisations ... approaches to long-term decision-making and planning across the connected models...
  • SCALE 6.2

  • Referenced in 5 articles [sw18190]
  • reactor physics, radiation shielding, and sensitivity and uncertainty analysis. For more than 30 years, regulators ... hard disk. The SCALE modernization plan provides a progression towards SCALE 7, which will provide...
  • REBA

  • Referenced in 2 articles [sw29435]
  • inference in the ASP program provides a plan of abstract actions. To implement each such ... description, and a probabilistic representation of the uncertainty in sensing and actuation, are used...
  • WARGI

  • Referenced in 1 article [sw30179]
  • optimization tool for water resources system planning and management,named WARGI, is proposed ... perform sensitivity analysis and to process data uncertainty using scenariooptimization. WARGI allows to start from...
  • POWDer

  • Referenced in 1 article [sw27098]
  • face of long-term environmental uncertainty and price volatility. Decisions made early in the season ... Zealand dairy industry understand and plan for the challenge of farming in a stochastic world...
  • MCDB

  • Referenced in 1 article [sw12046]
  • Monte Carlo approach. MCDB represents uncertainty via ”VG functions,” which are used to pseudorandomly generate ... novel query processing techniques, executing a query plan exactly once, but over ”tuple bundles” instead...
  • SoBT-RFW

  • Referenced in 1 article [sw17568]
  • brain tumor size is important for treatment planning and therapy evaluation. In this regard, this ... brain tumor segmentation. To address the uncertainty problem of brain MR image segmentation, the proposed...
  • ADOL-C

  • Referenced in 225 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • BARON

  • Referenced in 307 articles [sw00066]
  • BARON is a computational system for solving nonconvex...