{ "cells": [ { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.03151, "end_time": "2019-10-23T16:05:50.174325", "exception": false, "start_time": "2019-10-23T16:05:50.142815", "status": "completed" }, "tags": [] }, "source": [ "# ACS2 in Maze\n", "This notebook presents how to integrate ACS2 algorithm with maze environment (using OpenAI Gym interface).\n", "\n", "Begin with attaching required dependencies. Because most of the work is by now done locally no PIP modules are used (just pure OS paths)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "papermill": { "duration": 1.192388, "end_time": "2019-10-23T16:05:51.389568", "exception": false, "start_time": "2019-10-23T16:05:50.197180", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# General\n", "from __future__ import unicode_literals\n", "\n", "%matplotlib inline\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "\n", "# To avoid Type3 fonts in generated pdf file\n", "matplotlib.rcParams['pdf.fonttype'] = 42\n", "matplotlib.rcParams['ps.fonttype'] = 42\n", "\n", "# Logger\n", "import logging\n", "logging.basicConfig(level=logging.WARN)\n", "\n", "# ALCS + Custom environments\n", "import sys, os\n", "sys.path.append(os.path.abspath('../'))\n", "\n", "# Enable automatic module reload\n", "%load_ext autoreload\n", "%autoreload 2\n", "\n", "# Load PyALCS module\n", "from lcs.agents.acs2 import ACS2, Configuration, ClassifiersList\n", "\n", "# Load environments\n", "import gym\n", "import gym_maze" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.025544, "end_time": "2019-10-23T16:05:51.434240", "exception": false, "start_time": "2019-10-23T16:05:51.408696", "status": "completed" }, "tags": [] }, "source": [ "## Environment - Maze\n", "We are going to look at provided mazes. Their names starts with \"_Maze..._\" or \"_Woods..._\" so see what is possible to load:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "papermill": { "duration": 0.045915, "end_time": "2019-10-23T16:05:51.500925", "exception": false, "start_time": "2019-10-23T16:05:51.455010", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Maze ID: [MazeF1-v0], non-deterministic: [False], trials: [100]\n", "Maze ID: [MazeF2-v0], non-deterministic: [False], trials: [100]\n", "Maze ID: [MazeF3-v0], non-deterministic: [False], trials: [100]\n", "Maze ID: [MazeF4-v0], non-deterministic: [True], trials: [100]\n", "Maze ID: [Maze4-v0], non-deterministic: [False], trials: [100]\n", "Maze ID: [Maze5-v0], non-deterministic: [False], trials: [100]\n", "Maze ID: [Maze6-v0], non-deterministic: [True], trials: [100]\n", "Maze ID: [Woods1-v0], non-deterministic: [False], trials: [100]\n", "Maze ID: [Woods14-v0], non-deterministic: [False], trials: [100]\n" ] } ], "source": [ "# Custom function for obtaining available environments\n", "filter_envs = lambda env: env.id.startswith(\"Maze\") or env.id.startswith(\"Woods\")\n", "\n", "all_envs = [env for env in gym.envs.registry.all()]\n", "maze_envs = [env for env in all_envs if filter_envs(env)]\n", "\n", "for env in maze_envs:\n", " print(\"Maze ID: [{}], non-deterministic: [{}], trials: [{}]\".format(\n", " env.id, env.nondeterministic, env.trials))" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.020823, "end_time": "2019-10-23T16:05:51.542327", "exception": false, "start_time": "2019-10-23T16:05:51.521504", "status": "completed" }, "tags": [] }, "source": [ "Let's see how it looks in action. First we are going to initialize new environment using `gym.make()` instruction from OpenAI Gym." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "papermill": { "duration": 0.865645, "end_time": "2019-10-23T16:05:52.428612", "exception": false, "start_time": "2019-10-23T16:05:51.562967", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[33m$\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[31mA\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m\n" ] } ], "source": [ "#MAZE = \"Woods14-v0\"\n", "MAZE = \"Maze5-v0\"\n", "\n", "# Initialize environment\n", "maze = gym.make(MAZE)\n", "\n", "# Reset it, by putting an agent into random position\n", "situation = maze.reset()\n", "\n", "# Render the state in ASCII\n", "maze.render()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.020577, "end_time": "2019-10-23T16:05:52.469912", "exception": false, "start_time": "2019-10-23T16:05:52.449335", "status": "completed" }, "tags": [] }, "source": [ "The `reset()` function puts an agent into random position (on path inside maze) returning current perception.\n", "\n", "> The perception consists of 8 values representing N, NE, E, SE, S, SW, W, NW directions. It outputs 0 for the path, 1 for the wall and 9 for the reward." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "papermill": { "duration": 0.053443, "end_time": "2019-10-23T16:05:52.545797", "exception": false, "start_time": "2019-10-23T16:05:52.492354", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "('1', '0', '0', '1', '1', '1', '0', '0')" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Show current agents perception\n", "situation" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.021789, "end_time": "2019-10-23T16:05:52.587627", "exception": false, "start_time": "2019-10-23T16:05:52.565838", "status": "completed" }, "tags": [] }, "source": [ "We can interact with the environment by performing actions.\n", "\n", "> Agent can perform 8 actions - moving into different directions.\n", "\n", "To do so use `step(action)` function. It will return couple interesting information:\n", "- new state perception,\n", "- reward for executing move (ie. finding the reward)\n", "- is the trial finish,\n", "- debug data" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "papermill": { "duration": 0.050514, "end_time": "2019-10-23T16:05:52.660437", "exception": false, "start_time": "2019-10-23T16:05:52.609923", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "New state: ('1', '0', '0', '1', '1', '1', '0', '0'), reward: 0, is done: False\n", "\n", "\u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[33m$\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[31mA\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m \u001b[37m□\u001b[0m \u001b[30m■\u001b[0m\n", "\u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m \u001b[30m■\u001b[0m\n" ] } ], "source": [ "ACTION = 0 # Move N\n", "\n", "# Execute action\n", "state, reward, done, _ = maze.step(ACTION)\n", "\n", "# Show new state\n", "print(f\"New state: {state}, reward: {reward}, is done: {done}\")\n", "\n", "# Render the env one more time after executing step\n", "maze.render()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.023272, "end_time": "2019-10-23T16:05:52.703879", "exception": false, "start_time": "2019-10-23T16:05:52.680607", "status": "completed" }, "tags": [] }, "source": [ "## Agent - ACS2\n", "First provide a helper method for calculating obtained knowledge" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "papermill": { "duration": 0.051675, "end_time": "2019-10-23T16:05:52.776584", "exception": false, "start_time": "2019-10-23T16:05:52.724909", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def _maze_knowledge(population, environment) -> float:\n", " transitions = environment.env.get_all_possible_transitions()\n", "\n", " # Take into consideration only reliable classifiers\n", " reliable_classifiers = [c for c in population if c.is_reliable()]\n", "\n", " # Count how many transitions are anticipated correctly\n", " nr_correct = 0\n", "\n", " # For all possible destinations from each path cell\n", " for start, action, end in transitions:\n", "\n", " p0 = environment.env.maze.perception(*start)\n", " p1 = environment.env.maze.perception(*end)\n", "\n", " if any([True for cl in reliable_classifiers\n", " if cl.predicts_successfully(p0, action, p1)]):\n", " nr_correct += 1\n", "\n", " return nr_correct / len(transitions) * 100.0" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "papermill": { "duration": 0.052743, "end_time": "2019-10-23T16:05:52.849550", "exception": false, "start_time": "2019-10-23T16:05:52.796807", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from lcs.metrics import population_metrics\n", "\n", "def _maze_metrics(pop, env):\n", " metrics = {\n", " 'knowledge': _maze_knowledge(pop, env)\n", " }\n", "\n", " # Add basic population metrics\n", " metrics.update(population_metrics(pop, env))\n", " \n", " return metrics" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.020518, "end_time": "2019-10-23T16:05:52.890763", "exception": false, "start_time": "2019-10-23T16:05:52.870245", "status": "completed" }, "tags": [] }, "source": [ "### Exploration phase" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "papermill": { "duration": 0.052434, "end_time": "2019-10-23T16:05:52.963396", "exception": false, "start_time": "2019-10-23T16:05:52.910962", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "CLASSIFIER_LENGTH=8\n", "NUMBER_OF_POSSIBLE_ACTIONS=8\n", "\n", "# Define agent's default configuration\n", "cfg = Configuration(\n", " classifier_length=CLASSIFIER_LENGTH,\n", " number_of_possible_actions=NUMBER_OF_POSSIBLE_ACTIONS,\n", " metrics_trial_frequency=1,\n", " user_metrics_collector_fcn=_maze_metrics)\n", "\n", "# Define agent\n", "agent = ACS2(cfg)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "papermill": { "duration": 5.264707, "end_time": "2019-10-23T16:05:58.248116", "exception": false, "start_time": "2019-10-23T16:05:52.983409", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 5.19 s, sys: 11.7 ms, total: 5.2 s\n", "Wall time: 5.22 s\n" ] } ], "source": [ "%%time\n", "population, metrics = agent.explore(maze, 100)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.029407, "end_time": "2019-10-23T16:05:58.306679", "exception": false, "start_time": "2019-10-23T16:05:58.277272", "status": "completed" }, "tags": [] }, "source": [ "We can take a sneak peek into a created list of classifiers. Let's have a look at top 10:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "papermill": { "duration": 0.05323, "end_time": "2019-10-23T16:05:58.382832", "exception": false, "start_time": "2019-10-23T16:05:58.329602", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "9####010 0 1####101 (empty) q: 0.963 r: 884.0 ir: 884.0 f: 851.7 exp: 41 tga: 645 talp: 2817 tav: 46.2 num: 1 \tq: 0.96 \tr: 884.02 \tir: 884.02\n", "9#1##010 0 1####101 (empty) q: 0.921 r: 809.5 ir: 806.3 f: 745.3 exp: 31 tga: 1682 talp: 2817 tav: 35.7 num: 1 \tq: 0.92 \tr: 809.54 \tir: 806.29\n", "##901### 2 ##110### (empty) q: 0.875 r: 762.2 ir: 762.2 f: 666.8 exp: 27 tga: 590 talp: 2875 tav: 79.1 num: 1 \tq: 0.87 \tr: 762.17 \tir: 762.17\n", "011###01 0 9#####10 (empty) q: 0.989 r: 563.2 ir: 0.0 f: 557.2 exp: 40 tga: 951 talp: 2817 tav: 43.4 num: 1 \tq: 0.99 \tr: 563.17 \tir: 0.00\n", "01##0#01 0 9#####10 (empty) q: 0.976 r: 563.2 ir: 0.0 f: 549.5 exp: 41 tga: 949 talp: 2817 tav: 42.7 num: 1 \tq: 0.98 \tr: 563.17 \tir: 0.00\n", "01110001 0 9#####10 (empty) q: 0.972 r: 563.0 ir: 0.0 f: 547.1 exp: 41 tga: 949 talp: 2817 tav: 41.3 num: 1 \tq: 0.97 \tr: 563.01 \tir: 0.00\n", "0#1##001 0 9#####10 (empty) q: 0.953 r: 553.8 ir: 0.0 f: 527.6 exp: 32 tga: 1769 talp: 2817 tav: 32.5 num: 1 \tq: 0.95 \tr: 553.76 \tir: 0.00\n", "1000#101 1 9111#010 (empty) q: 0.942 r: 347.8 ir: 0.0 f: 327.6 exp: 14 tga: 644 talp: 2795 tav: 1.46e+02 num: 1 \tq: 0.94 \tr: 347.78 \tir: 0.00\n", "1#0110## 2 ##90#1## (empty) q: 0.958 r: 290.4 ir: 0.0 f: 278.1 exp: 22 tga: 1168 talp: 2874 tav: 76.9 num: 1 \tq: 0.96 \tr: 290.39 \tir: 0.00\n", "11011001 2 ##90#1## (empty) q: 0.846 r: 290.3 ir: 0.0 f: 245.7 exp: 22 tga: 1168 talp: 2874 tav: 77.0 num: 1 \tq: 0.85 \tr: 290.33 \tir: 0.00\n" ] } ], "source": [ "population.sort(key=lambda cl: -cl.fitness)\n", "\n", "for cl in population[:10]:\n", " print(\"{!r} \\tq: {:.2f} \\tr: {:.2f} \\tir: {:.2f}\".format(cl, cl.q, cl.r, cl.ir))" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.022594, "end_time": "2019-10-23T16:05:58.426257", "exception": false, "start_time": "2019-10-23T16:05:58.403663", "status": "completed" }, "tags": [] }, "source": [ "### Exploitation" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.020517, "end_time": "2019-10-23T16:05:58.468844", "exception": false, "start_time": "2019-10-23T16:05:58.448327", "status": "completed" }, "tags": [] }, "source": [ "Now we can either reuse our previous agent or initialize it one more time passing the initial population of classifiers as *apriori* knowledge." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "papermill": { "duration": 0.050181, "end_time": "2019-10-23T16:05:58.540078", "exception": false, "start_time": "2019-10-23T16:05:58.489897", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Reinitialize agent using defined configuration and population\n", "agent = ACS2(cfg, population)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "papermill": { "duration": 0.086936, "end_time": "2019-10-23T16:05:58.647757", "exception": false, "start_time": "2019-10-23T16:05:58.560821", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 33.3 ms, sys: 16 µs, total: 33.4 ms\n", "Wall time: 33.4 ms\n" ] } ], "source": [ "%%time\n", "population, metrics = agent.exploit(maze, 1)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "papermill": { "duration": 0.050557, "end_time": "2019-10-23T16:05:58.719570", "exception": false, "start_time": "2019-10-23T16:05:58.669013", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "{'trial': 0,\n", " 'steps_in_trial': 2,\n", " 'reward': 1000,\n", " 'knowledge': 24.65753424657534,\n", " 'population': 419,\n", " 'numerosity': 419,\n", " 'reliable': 78}" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metrics[-1]" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.021702, "end_time": "2019-10-23T16:05:58.762438", "exception": false, "start_time": "2019-10-23T16:05:58.740736", "status": "completed" }, "tags": [] }, "source": [ "## Experiments" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "papermill": { "duration": 0.052549, "end_time": "2019-10-23T16:05:58.840389", "exception": false, "start_time": "2019-10-23T16:05:58.787840", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def parse_metrics_to_df(explore_metrics, exploit_metrics):\n", " def extract_details(row):\n", " row['trial'] = row['trial']\n", " row['steps'] = row['steps_in_trial']\n", " row['numerosity'] = row['numerosity']\n", " row['reliable'] = row['reliable']\n", " row['knowledge'] = row['knowledge']\n", " return row\n", " \n", " # Load both metrics into data frame\n", " explore_df = pd.DataFrame(explore_metrics)\n", " exploit_df = pd.DataFrame(exploit_metrics)\n", " \n", " # Mark them with specific phase\n", " explore_df['phase'] = 'explore'\n", " exploit_df['phase'] = 'exploit'\n", " \n", " # Extract details\n", " explore_df = explore_df.apply(extract_details, axis=1)\n", " exploit_df = exploit_df.apply(extract_details, axis=1)\n", " \n", " # Adjuts exploit trial counter\n", " exploit_df['trial'] = exploit_df.apply(lambda r: r['trial']+len(explore_df), axis=1)\n", " \n", " # Concatenate both dataframes\n", " df = pd.concat([explore_df, exploit_df])\n", " df.set_index('trial', inplace=True)\n", " \n", " return df" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.022799, "end_time": "2019-10-23T16:05:58.884436", "exception": false, "start_time": "2019-10-23T16:05:58.861637", "status": "completed" }, "tags": [] }, "source": [ "For various mazes visualize\n", "- classifiers / reliable classifiers for steps\n", "- optimal policy\n", "- steps (exploration | exploitation)\n", "- knowledge\n", "- parameters setting" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "papermill": { "duration": 0.058814, "end_time": "2019-10-23T16:05:58.965788", "exception": false, "start_time": "2019-10-23T16:05:58.906974", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def find_best_classifier(population, situation, cfg):\n", " match_set = population.form_match_set(situation)\n", " anticipated_change_cls = [cl for cl in match_set if cl.does_anticipate_change()]\n", " \n", " if (len(anticipated_change_cls) > 0):\n", " return max(anticipated_change_cls, key=lambda cl: cl.fitness)\n", " \n", " return None\n", "\n", "def build_fitness_matrix(env, population, cfg):\n", " original = env.env.maze.matrix\n", " fitness = original.copy()\n", " \n", " # Think about more 'functional' way of doing this\n", " for index, x in np.ndenumerate(original):\n", " # Path - best classfier fitness\n", " if x == 0:\n", " perception = env.env.maze.perception(index[1], index[0])\n", " best_cl = find_best_classifier(population, perception, cfg)\n", " if best_cl:\n", " fitness[index] = best_cl.fitness\n", " else:\n", " fitness[index] = -1\n", " \n", " # Wall - fitness = 0\n", " if x == 1:\n", " fitness[index] = 0\n", " \n", " # Reward - inf fitness\n", " if x == 9:\n", " fitness[index] = fitness.max () + 500\n", " \n", " return fitness\n", " \n", "def build_action_matrix(env, population, cfg):\n", " ACTION_LOOKUP = { \n", " 0: u'↑', 1: u'↗', 2: u'→', 3: u'↘',\n", " 4: u'↓', 5: u'↙', 6: u'←', 7: u'↖'\n", " }\n", " \n", " original = env.env.maze.matrix\n", " action = original.copy().astype(str)\n", " \n", " # Think about more 'functional' way of doing this\n", " for index, x in np.ndenumerate(original):\n", " # Path - best classfier fitness\n", " if x == 0:\n", " perception = env.env.maze.perception(index[1], index[0])\n", " best_cl = find_best_classifier(population, perception, cfg)\n", " if best_cl:\n", " action[index] = ACTION_LOOKUP[best_cl.action]\n", " else:\n", " action[index] = '?'\n", " \n", " # Wall - fitness = 0\n", " if x == 1:\n", " action[index] = '\\#'\n", " \n", " # Reward - inf fitness\n", " if x == 9:\n", " action[index] = 'R'\n", " \n", " return action" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.023955, "end_time": "2019-10-23T16:05:59.011295", "exception": false, "start_time": "2019-10-23T16:05:58.987340", "status": "completed" }, "tags": [] }, "source": [ "## Plotting functions and settings" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "papermill": { "duration": 0.048877, "end_time": "2019-10-23T16:05:59.086169", "exception": false, "start_time": "2019-10-23T16:05:59.037292", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Plot constants\n", "TITLE_TEXT_SIZE=24\n", "AXIS_TEXT_SIZE=18\n", "LEGEND_TEXT_SIZE=16" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "papermill": { "duration": 0.057274, "end_time": "2019-10-23T16:05:59.164638", "exception": false, "start_time": "2019-10-23T16:05:59.107364", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def plot_policy(env, agent, cfg, ax=None):\n", " if ax is None:\n", " ax = plt.gca()\n", " \n", " ax.set_aspect(\"equal\")\n", " \n", " # Handy variables\n", " maze_countours = maze.env.maze.matrix\n", " max_x = env.env.maze.max_x\n", " max_y = env.env.maze.max_y\n", " \n", " fitness_matrix = build_fitness_matrix(env, agent.population, cfg)\n", " action_matrix = build_action_matrix(env, agent.population, cfg)\n", " \n", " # Render maze as image\n", " plt.imshow(fitness_matrix, interpolation='nearest', cmap='Reds', aspect='auto',\n", " extent=[0, max_x, max_y, 0])\n", " \n", " \n", " # Add labels to each cell\n", " for (y,x), val in np.ndenumerate(action_matrix):\n", " plt.text(x+0.4, y+0.5, \"${}$\".format(val))\n", " \n", " ax.set_title(\"Policy\", fontsize=TITLE_TEXT_SIZE)\n", " ax.set_xlabel('x', fontsize=AXIS_TEXT_SIZE)\n", " ax.set_ylabel('y', fontsize=AXIS_TEXT_SIZE)\n", "\n", " ax.set_xlim(0, max_x)\n", " ax.set_ylim(max_y, 0)\n", " \n", " ax.set_xticks(range(0, max_x))\n", " ax.set_yticks(range(0, max_y))\n", " \n", " ax.grid(True)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "papermill": { "duration": 0.052015, "end_time": "2019-10-23T16:05:59.237973", "exception": false, "start_time": "2019-10-23T16:05:59.185958", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def plot_knowledge(df, ax=None):\n", " if ax is None:\n", " ax = plt.gca()\n", " \n", " explore_df = df.query(\"phase == 'explore'\")\n", " exploit_df = df.query(\"phase == 'exploit'\")\n", " \n", " explore_df['knowledge'].plot(ax=ax, c='blue')\n", " exploit_df['knowledge'].plot(ax=ax, c='red')\n", " ax.axvline(x=len(explore_df), c='black', linestyle='dashed')\n", " \n", " ax.set_title(\"Achieved knowledge\", fontsize=TITLE_TEXT_SIZE)\n", " ax.set_xlabel(\"Trial\", fontsize=AXIS_TEXT_SIZE)\n", " ax.set_ylabel(\"Knowledge [%]\", fontsize=AXIS_TEXT_SIZE)\n", " ax.set_ylim([0, 105])" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "papermill": { "duration": 0.056623, "end_time": "2019-10-23T16:05:59.315935", "exception": false, "start_time": "2019-10-23T16:05:59.259312", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def plot_steps(df, ax=None):\n", " if ax is None:\n", " ax = plt.gca()\n", " \n", " explore_df = df.query(\"phase == 'explore'\")\n", " exploit_df = df.query(\"phase == 'exploit'\")\n", " \n", " explore_df['steps'].plot(ax=ax, c='blue', linewidth=.5)\n", " exploit_df['steps'].plot(ax=ax, c='red', linewidth=0.5)\n", " ax.axvline(x=len(explore_df), c='black', linestyle='dashed')\n", " \n", " ax.set_title(\"Steps\", fontsize=TITLE_TEXT_SIZE)\n", " ax.set_xlabel(\"Trial\", fontsize=AXIS_TEXT_SIZE)\n", " ax.set_ylabel(\"Steps\", fontsize=AXIS_TEXT_SIZE)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "papermill": { "duration": 0.051963, "end_time": "2019-10-23T16:05:59.389306", "exception": false, "start_time": "2019-10-23T16:05:59.337343", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def plot_classifiers(df, ax=None):\n", " if ax is None:\n", " ax = plt.gca()\n", " \n", " explore_df = df.query(\"phase == 'explore'\")\n", " exploit_df = df.query(\"phase == 'exploit'\")\n", " \n", " df['numerosity'].plot(ax=ax, c='blue')\n", " df['reliable'].plot(ax=ax, c='red') \n", " \n", " ax.axvline(x=len(explore_df), c='black', linestyle='dashed')\n", " \n", " ax.set_title(\"Classifiers\", fontsize=TITLE_TEXT_SIZE)\n", " ax.set_xlabel(\"Trial\", fontsize=AXIS_TEXT_SIZE)\n", " ax.set_ylabel(\"Classifiers\", fontsize=AXIS_TEXT_SIZE)\n", " ax.legend(fontsize=LEGEND_TEXT_SIZE)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "papermill": { "duration": 0.055929, "end_time": "2019-10-23T16:05:59.467152", "exception": false, "start_time": "2019-10-23T16:05:59.411223", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def plot_performance(agent, maze, metrics_df, cfg, env_name):\n", " plt.figure(figsize=(13, 10), dpi=100)\n", " plt.suptitle(f'ACS2 Performance in {env_name} environment', fontsize=32)\n", " \n", " ax1 = plt.subplot(221)\n", " plot_policy(maze, agent, cfg, ax1)\n", " \n", " ax2 = plt.subplot(222)\n", " plot_knowledge(metrics_df, ax2)\n", " \n", " ax3 = plt.subplot(223)\n", " plot_classifiers(metrics_df, ax3)\n", " \n", " ax4 = plt.subplot(224)\n", " plot_steps(metrics_df, ax4)\n", " \n", " plt.subplots_adjust(top=0.86, wspace=0.3, hspace=0.3)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.02321, "end_time": "2019-10-23T16:05:59.511876", "exception": false, "start_time": "2019-10-23T16:05:59.488666", "status": "completed" }, "tags": [] }, "source": [ "## Maze5" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "papermill": { "duration": 424.680369, "end_time": "2019-10-23T16:13:04.214764", "exception": false, "start_time": "2019-10-23T16:05:59.534395", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 7min 2s, sys: 876 ms, total: 7min 3s\n", "Wall time: 7min 4s\n" ] } ], "source": [ "%%time\n", "\n", "# define environment\n", "maze5 = gym.make('Maze5-v0')\n", "\n", "# explore\n", "agent_maze5 = ACS2(cfg)\n", "population_maze5_explore, metrics_maze5_explore = agent_maze5.explore(maze5, 3000)\n", "\n", "# exploit\n", "agent_maze5 = ACS2(cfg, population_maze5_explore)\n", "_, metrics_maze5_exploit = agent_maze5.exploit(maze5, 400)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "papermill": { "duration": 3.435041, "end_time": "2019-10-23T16:13:07.679474", "exception": false, "start_time": "2019-10-23T16:13:04.244433", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "maze5_metrics_df = parse_metrics_to_df(metrics_maze5_explore, metrics_maze5_exploit)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "papermill": { "duration": 2.155516, "end_time": "2019-10-23T16:13:09.858805", "exception": false, "start_time": "2019-10-23T16:13:07.703289", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_performance(agent_maze5, maze5, maze5_metrics_df, cfg, 'Maze5')" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.02282, "end_time": "2019-10-23T16:13:09.905657", "exception": false, "start_time": "2019-10-23T16:13:09.882837", "status": "completed" }, "tags": [] }, "source": [ "## Woods14" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "papermill": { "duration": 32.331256, "end_time": "2019-10-23T16:13:42.262914", "exception": false, "start_time": "2019-10-23T16:13:09.931658", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 32.1 s, sys: 62.5 ms, total: 32.2 s\n", "Wall time: 32.3 s\n" ] } ], "source": [ "%%time\n", "\n", "# define environment\n", "woods14 = gym.make('Woods14-v0')\n", "\n", "# explore\n", "agent_woods14 = ACS2(cfg)\n", "population_woods14_explore, metrics_woods14_explore = agent_woods14.explore(woods14, 1000)\n", "\n", "# exploit\n", "agent_woods14 = ACS2(cfg, population_woods14_explore)\n", "_, metrics_woods14_exploit = agent_woods14.exploit(woods14, 200)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "papermill": { "duration": 1.267927, "end_time": "2019-10-23T16:13:43.557496", "exception": false, "start_time": "2019-10-23T16:13:42.289569", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "woods14_metrics_df = parse_metrics_to_df(metrics_woods14_explore, metrics_woods14_exploit)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "papermill": { "duration": 1.755718, "end_time": "2019-10-23T16:13:45.336107", "exception": false, "start_time": "2019-10-23T16:13:43.580389", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", 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