POMCP (Deprecated)

This package is now unmaintained and DEPRECATED in favor of BasicPOMCP.jl and POMCPOW.jl

The Partially Observable Monte Carlo Planning (POMCP) online solver for POMDPs.jl.

Described in

Silver, D., & Veness, J. (2010). Monte-Carlo Planning in Large POMDPs. In Advances in neural information processing systems (pp. 2164–2172). Retrieved from http://discovery.ucl.ac.uk/1347369/

Installation

Using POMDPs.jl (should automatically take care of dependencies)

Pkg.add("POMDPs")
import POMDPs
POMDPs.add("POMCP")

OR (some optional dependencies may be missing)

Pkg.clone("https://github.com/juliapomdp/POMCP.jl.git")

Documentation

Documentation can be found at http://juliapomdp.github.io/POMCP.jl/latest/ (generated by Documenter.jl)

A minimal example showing the functions required to use the package is here: https://github.com/JuliaPOMDP/POMCP.jl/blob/master/notebooks/Minimal_Example.ipynb