• pomp

  • Referenced in 35 articles [sw10664]
  • package pomp: Statistical Inference for Partially Observed Markov Processes. Tools for working with partially observed...
  • POMDPS

  • Referenced in 34 articles [sw03055]
  • Online planning algorithms for POMDPS. Partially Observable Markov Decision Processes (POMDPs) provide a rich framework...
  • POMDP

  • Referenced in 20 articles [sw03204]
  • Partially Observable Markov Decision Process (POMDP). The ’pomdp-solve’ program solves problems that are formulated ... partially observable Markov decision processes, a.k.a. POMDPs. It uses the basic dynamic programming approach...
  • REALCOM

  • Referenced in 8 articles [sw18415]
  • leading practical approach to modelling partially observed data, under the assumption that the data...
  • RRE

  • Referenced in 8 articles [sw22305]
  • optimal response actions by solving a partially observable competitive Markov decision process that is automatically...
  • BDI-POMDP

  • Referenced in 6 articles [sw03092]
  • quantitative performance analysis under uncertainty. Distributed partially observable Markov decision problems (POMDPs) are well suited...
  • DPPD

  • Referenced in 14 articles [sw09884]
  • benchmarks for partial deduction. It started out by the observation that the only accepted benchmark...
  • DESPOT

  • Referenced in 3 articles [sw27455]
  • online POMDP planning with regularization. The partially observable Markov decision process (POMDP) provides a principled ... challenges, we introduce the Determinized Sparse Partially Observable Tree (DESPOT), a sparse approximation...
  • POGTGolog

  • Referenced in 2 articles [sw32303]
  • Partially observable game-theoretic agent programming in golog. In this paper, we present the agent ... programming language POGTGolog (Partially Observable Game-Theoretic Golog), which integrates explicit agent programming in Golog ... game-theoretic multi-agent planning in partially observable stochastic games. In this framework, we assume ... team of cooperative agents acting under partial observability, where the agents may also have different...
  • MMG

  • Referenced in 4 articles [sw29328]
  • throughput proteomics and metabolomics), only very partial observations are available, resulting in the need...
  • BoolFilter

  • Referenced in 2 articles [sw22774]
  • package BoolFilter: Optimal Estimation of Partially Observed Boolean Dynamical Systems. Tools for optimal and approximate ... well as network inference of Partially-Observed Boolean Dynamical Systems...
  • SMACS

  • Referenced in 2 articles [sw06144]
  • control of infinite transition systems under partial observation using abstract interpretation. We propose algorithms ... synthesis of state-feedback controllers with partial observation of infinite state discrete event systems modelled...
  • abc-sde

  • Referenced in 3 articles [sw24744]
  • dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components...
  • AdaPT

  • Referenced in 3 articles [sw30027]
  • analyst proposes a rejection threshold and observes partially censored (p)-values, estimates the false discovery...
  • NetQuest

  • Referenced in 5 articles [sw13969]
  • properties of interest based on the partial, indirect observations we get through these measurements...
  • DeepMind Lab

  • Referenced in 2 articles [sw28743]
  • learn complex tasks in large, partially observed, and visually diverse worlds. DeepMind...
  • EpiStruct

  • Referenced in 2 articles [sw34639]
  • support the paper: Importance sampling for partially observed temporal epidemic models. We present an importance...
  • REBA

  • Referenced in 2 articles [sw29435]
  • actuation, are used to construct a partially observable Markov decision process (POMDP). The policy obtained...
  • panelPomp

  • Referenced in 1 article [sw29336]
  • panelPomp: Statistical Inference for PanelPOMPs (Panel Partially Observed Markov Processes). Tools for working with PanelPOMP ... models, i.e., with Partially Observed Markov Processes (AKA state-space models, stochastic dynamical systems) involving...