Displaying 1 to 2 from 2 results


  •    Julia

This package provides a core interface for working with Markov decision processes (MDPs) and partially observable Markov decision processes (POMDPs). For examples, please see the Gallery. There are multiple interfaces for expressing and interacting with (PO)MDPs: When the explicit interface is used, the transition and observation probabilities are explicitly defined using api functions or tables; when the generative interface is used, only a single step simulator (e.g. (s', o, r) = G(s,a)) needs to be defined.

markovjs - Reinforcement Learning in JavaScript

  •    Javascript

This is a reference implementation of a basic reinforcement learning environment. It is intended as a playground for anyone interested in this field. This package exports a function that provides the environment you'll need to try your own problems.

We have large collection of open source products. Follow the tags from Tag Cloud >>

Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.