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rcss - R Package

R package for approximating the value functions in Markov decision processes (under linear state dynamics, convex reward and convex scrap functions) using convex piecewise linear functions.

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Version

Install

install.packages('rcss')

Monthly Downloads

6

Version

1.8

License

GPL

Maintainer

Jeremy Yee

Last Published

March 17th, 2019

Functions in rcss (1.8)

FiniteAddDual

Finite distribution case additive duals
FastBellman

Fast Bellman Recursion
FullTestPolicy

Full backtesting prescribed policy
PathDisturb

Path Simulation
PathPolicy

Prescribed policy
StochasticGrid

Stochastic grid
TestPolicy

Backtesting Prescribed policy
GetBounds

Confidence Bounds
Optimal

Optimal
FastAddDual

Fast additive duals
Bellman

Bellman recursion
FastExpected

Fast expected value function
FastPathPolicy

Fast prescribed policy
Expected

Expected value function
AddDual

Additive duals
AddDualBounds

Additive duals bound estimates
AcceleratedBellman

Bellman recursion accelerated with k nearest neighbours
AcceleratedExpected

Expected value function using k nearest neighbours