• Duali

  • Referenced in 26 articles [sw01245]
  • designed to solve deterministic and stochastic optimal control models of economic systems. The Duali part ... useful for teaching about dynamic deterministic and stochastic economic models. It is also a useful ... both passive and active learning stochastic control models. Models developed in Duali and solved first ... either passive or active learning stochastic control models in the Dualpc software...
  • R-MAX

  • Referenced in 32 articles [sw02539]
  • algorithm, covering zero-sum stochastic games. (2) It has a built-in mechanism for resolving ... algorithm for learning in single controller stochastic games. (5) It generalizes the algorithm by Monderer...
  • AdaGrad

  • Referenced in 119 articles [sw22202]
  • advances in stochastic optimization and online learning which employ proximal functions to control the gradient...
  • ToolboxLS

  • Referenced in 50 articles [sw06312]
  • fields such as control, robotics, differential games, dynamic programming, mesh generation, stochastic differential equations, financial...
  • OPTCON

  • Referenced in 14 articles [sw02660]
  • algorithm for the optimal control of nonlinear stochastic models. The authors describe a new algorithm ... control that allows for additive uncertainty as well as for the presence of a stochastic...
  • StOpt

  • Referenced in 7 articles [sw32903]
  • regressors), for underlying states following some uncontrolled Stochastic Differential Equations (python binding provided). Semi-Lagrangian ... equations for underlying states following some controlled Stochastic Differential Equations (C++ only). Stochastic Dual Dynamic ... some problems where the underlying stochastic state is controlled. Some pure Monte Carlo Methods...
  • WINSTEPS

  • Referenced in 27 articles [sw06661]
  • quality-control fit statistics, statistical information, linearity, local dependency and unidimensionality. Rasch implements stochastic Guttman...
  • SOCSol4L

  • Referenced in 2 articles [sw15008]
  • solution to a continuous-time stochastic optimal control problem. Computing the solution to a stochastic ... optimal control problem is difficult. A method of approximating ... solution to a given continuous-time stochastic optimal control problem using Markov chains was developed...
  • PGSL

  • Referenced in 11 articles [sw04748]
  • direct stochastic algorithm for global search This paper presents a new algorithm called probabilistic global ... tasks in areas of design, diagnosis and control...
  • StochPy

  • Referenced in 8 articles [sw27252]
  • comprehensive software package for stochastic simulation of the molecular control networks of living cells...
  • SCAFFOLD

  • Referenced in 2 articles [sw34100]
  • SCAFFOLD: Stochastic Controlled Averaging for Federated Learning. Federated Averaging (FedAvg) has emerged as the algorithm...
  • DualPC

  • Referenced in 10 articles [sw08479]
  • Duali/Dualpc software for quadratic-linear optimal control models. Duali (which is pronounced “dual I”) provides ... interface for deterministic, passive and active learning stochastic models as well as solvers for deterministic ... learning stochastic models. It does not yet contain a solver for adaptive control models. However...
  • Venture

  • Referenced in 9 articles [sw14670]
  • probabilistic graphical models. First, we describe the stochastic procedure interface (SPI) that specifies and encapsulates ... custom control flow, higher-order probabilistic procedures, partially exchangeable sequences and “likelihood-free” stochastic simulators...
  • InfSOCSol

  • Referenced in 1 article [sw08392]
  • continuous-time in nite horizon stochastic optimal control problem. This paper describes a suite ... optimal solution to an infinite-horizon stochastic optimal control problem. The suite is an updated...
  • spc4sts

  • Referenced in 1 article [sw31342]
  • package spc4sts: Statistical Process Control for Stochastic Textured Surfaces. Provides statistical process control tools...
  • SReachTools

  • Referenced in 5 articles [sw30627]
  • likelihood that the state of a stochastic system will remain within a collection of time ... while respecting the system dynamics and bounded control authority. SReachTools implements several new algorithms based ... compute over- and under-approximations of the stochastic reach set. SReachTools can be used ... closed-loop systems and can also perform controller synthesis via open-loop, affine, and state...
  • DISPRO

  • Referenced in 7 articles [sw14791]
  • optimal control; ORBITAL’, unconstrained optimization and approximation [61]; NDO, nondifferentiable and stochastic optimization...
  • AMYTISS

  • Referenced in 1 article [sw36936]
  • parallelized tool on automated controller synthesis for large-scale stochastic systems. In this paper ... designing correct-by-construction controllers for large-scale discrete-time stochastic systems. This tool ... given original systems, and (ii) synthesize controllers for the constructed finite MDPs satisfying bounded-time ... accelerators (HWAs). Unlike all existing tools for stochastic systems, AMYTISS can utilize high-performance computing...
  • S-TaLiRo

  • Referenced in 17 articles [sw09775]
  • tool, we use randomized testing based on stochastic optimization techniques including Monte-Carlo methods ... industry for model-based development of control software. We present the architecture of S-TaLiRo...
  • Memorize

  • Referenced in 1 article [sw30155]
  • provable guarantees as an optimal control problem for stochastic differential equations with jumps...