{ "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "Ynb-laSwmpac" }, "source": [ "# Loading and visualizing results ([open in colab](https://colab.research.google.com/github/openai/baselines/blob/master/docs/viz/viz.ipynb))\n", "In order to compare performance of algorithms, we often would like to visualize learning curves (reward as a function of time steps), or some other auxiliary information about learning aggregated into a plot. Baselines repo provides tools for doing so in several different ways, depending on the goal." ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "yreoV7OClzYG" }, "source": [ "## Preliminaries / TensorBoard\n", "First, let us install baselines repo from github" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "r4Aul2Qujlg9" }, "outputs": [], "source": [ "!pip install git+https://github.com/openai/baselines > ~/pip_install_baselines.log" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "1n7XAyVWniRp" }, "source": [ "For all algorithms in baselines summary data is saved into a folder defined by logger. By default, a folder $TMPDIR/openai--