plotting

ml-agents/mlagents/trainers/tests/reward_plot.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_reward(dirname):\n",
+    "    reward = []\n",
+    "    with open(dirname+'/Simple.csv', newline='') as csvfile:\n",
+    "        reader = csv.DictReader(csvfile)\n",
+    "        for row in reader:\n",
+    "            reward.append(float(row['Environment/Cumulative Reward']))\n",
+    "    return reward"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def smooth(scalars, weight: float):  # Weight between 0 and 1\n",
+    "    last = scalars[0]  # First value in the plot (first timestep)\n",
+    "    smoothed = list()\n",
+    "    for point in scalars:\n",
+    "        smoothed_val = last * weight + (1 - weight) * point  # Calculate smoothed value\n",
+    "        smoothed.append(smoothed_val)                        # Save it\n",
+    "        last = smoothed_val                                  # Anchor the last smoothed value\n",
+    "\n",
+    "    return smoothed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "seeds = [0,1,2,3,4]\n",
+    "obs_types = [\"long\", \"longpre\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rewards_ppo = {} \n",
+    "for obs in obs_types:\n",
+    "    rewards_ppo[obs] = []\n",
+    "    for s in seeds:\n",
+    "        rewards_ppo[obs].append(read_reward(\"transfer_results/ppo_{}_s{}\".format(obs, s)))\n",
+    "    rewards_ppo[obs] = np.array(rewards_ppo[obs])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlagents-env",
+   "language": "python",
+   "name": "mlagents-env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}