env

README

Example Environment

This project provides a simple example of how to use the Env interface to generate inputs for a network.

The deep_fsa and sir2 projects also have Env implementations, but they are more complex, so this example may provide a more generic starting point for building your own custom Env.

The Env code is entirely in env.go, and sim.go is just the ra25 simulation code adapted to use the env.

The env just activates a point in a 2D input matrix and has one-hot output representations for the X and Y coordinates of that point.

See also https://github.com/CompCogNeuro/sims for other models with Env implementations, including ch9/sg which uses the general-purpose emergent/esg stochastic generator to generate sentence inputs.

Documentation

Overview

sim is a simple simulation to run the env example