From aa88cd0ec58bfdc88bf0dac59b29c9b80becc674 Mon Sep 17 00:00:00 2001 From: Antonis Maronikolakis Date: Thu, 25 May 2017 14:27:37 +0300 Subject: [PATCH 1/3] Update rl.py --- rl.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/rl.py b/rl.py index 43d860935..20a392592 100644 --- a/rl.py +++ b/rl.py @@ -1,5 +1,4 @@ -"""Reinforcement Learning (Chapter 21) -""" +"""Reinforcement Learning (Chapter 21)""" from collections import defaultdict from utils import argmax @@ -61,7 +60,7 @@ def __call__(self, percept): return self.a def update_state(self, percept): - ''' To be overridden in most cases. The default case + '''To be overridden in most cases. The default case assumes the percept to be of type (state, reward)''' return percept From 6f9a232f8d98bf6210391c3d2e6baa7d194a3354 Mon Sep 17 00:00:00 2001 From: Antonis Maronikolakis Date: Thu, 25 May 2017 14:28:18 +0300 Subject: [PATCH 2/3] Update mdp.py --- mdp.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/mdp.py b/mdp.py index 833c4d9fd..cbb48e874 100644 --- a/mdp.py +++ b/mdp.py @@ -22,15 +22,18 @@ class MDP: list of (p, s') pairs. We also keep track of the possible states, terminal states, and actions for each state. [page 646]""" - def __init__(self, init, actlist, terminals, transitions={}, states=set(), gamma=.9): + def __init__(self, init, actlist, terminals, transitions={}, states=None, gamma=.9): if not (0 <= gamma < 1): raise ValueError("An MDP must have 0 <= gamma < 1") + if states: + self.states = states + else: + self.states = set() self.init = init self.actlist = actlist self.terminals = terminals self.transitions = transitions - self.states = states self.gamma = gamma self.reward = {} From 896b5e1bd4163d3cfb65460b6e7f62f5229399c8 Mon Sep 17 00:00:00 2001 From: Antonis Maronikolakis Date: Thu, 25 May 2017 14:32:44 +0300 Subject: [PATCH 3/3] Minor changed to rl notebook --- rl.ipynb | 210 +++++++++++++++++++++++-------------------------------- 1 file changed, 86 insertions(+), 124 deletions(-) diff --git a/rl.ipynb b/rl.ipynb index 103c32e9e..5bff1d91d 100644 --- a/rl.ipynb +++ b/rl.ipynb @@ -2,9 +2,7 @@ "cells": [ { "cell_type": "markdown", - "metadata": { - "collapsed": false - }, + "metadata": {}, "source": [ "# Reinforcement Learning\n", "\n", @@ -81,35 +79,13 @@ "cell_type": "code", "execution_count": 3, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ "from mdp import sequential_decision_environment" ] }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sequential_decision_environment" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -119,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "collapsed": true }, @@ -147,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -165,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -183,10 +159,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, + "execution_count": 7, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -209,16 +183,14 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, + "execution_count": 8, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "{(0, 1): 0.4496668011879283, (1, 2): 0.619085803445832, (3, 2): 1, (0, 0): 0.32062531035042224, (2, 0): 0.0, (3, 0): 0.0, (1, 0): 0.235638474671875, (3, 1): -1, (2, 2): 0.7597530664991547, (2, 1): 0.4275522091676434, (0, 2): 0.5333144285450669}\n" + "{(0, 1): 0.3892840731173828, (1, 2): 0.6211579621949068, (3, 2): 1, (0, 0): 0.3022330060485855, (2, 0): 0.0, (3, 0): 0.0, (1, 0): 0.18020445259687815, (3, 1): -1, (2, 2): 0.822969605478094, (2, 1): -0.8456690895152308, (0, 2): 0.49454878907979766}\n" ] } ], @@ -237,9 +209,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -270,16 +242,14 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, + "execution_count": 10, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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LZOLFweMtB+cSt2XCgAF2PRIHUWyEQhzi3UolJel7aZSVmesnWQsx6Faqr7ff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\nQhWsAAAAAElFTkSuQmCC\n", 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gn+0oYdaojEbjRRz3XDqJH5w/lmn2SPYxA61ANf2ENPc9uP6UE/jJRRMQgQsm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\nPl9TIPx0G0N7qCzdYaAx5oD980FgoP1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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -300,16 +270,14 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, + "execution_count": 11, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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dukOkJFCHtMgZZHRKz46azTV1riGgTAAnk08W+kl+Cga50CkcpFTIOK309aav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\nCEhNX9+k9HkZRyl+6eveiHN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CUUl9LZUhd5f/tpbN8Fre+k/9//DyL3z04sy7PWid88+ih6o3bV1yTWHTSg/QZvCjt+Da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\ngVFmthyfYflE4C/U7X0mhLA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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -342,7 +310,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "collapsed": true }, @@ -369,14 +337,14 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "q_agent = QLearningAgent(sequential_decision_environment, Ne=5, Rplus=2, \n", - " alpha=lambda n: 60./(59+n))\n" + " alpha=lambda n: 60./(59+n))" ] }, { @@ -388,14 +356,14 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ "for i in range(200):\n", - " run_single_trial(q_agent,sequential_decision_environment)\n" + " run_single_trial(q_agent,sequential_decision_environment)" ] }, { @@ -412,56 +380,54 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, + "execution_count": 15, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "defaultdict(float,\n", - " {((0, 0), (-1, 0)): -0.07323076923076924,\n", - " ((0, 0), (0, -1)): -0.0759999433406361,\n", - " ((0, 0), (0, 1)): 0.2244371077466747,\n", - " ((0, 0), (1, 0)): -0.07085714285714287,\n", - " ((0, 1), (-1, 0)): -0.04883916667786259,\n", - " ((0, 1), (0, -1)): -0.05252175603090532,\n", - " ((0, 1), (0, 1)): 0.3396752416362625,\n", + " {((0, 0), (-1, 0)): -0.12953971401732597,\n", + " ((0, 0), (0, -1)): -0.12753699595470713,\n", + " ((0, 0), (0, 1)): -0.01158029172666495,\n", + " ((0, 0), (1, 0)): -0.13035841083471436,\n", + " ((0, 1), (-1, 0)): -0.04,\n", + " ((0, 1), (0, -1)): -0.1057916516323444,\n", + " ((0, 1), (0, 1)): 0.13072636267769677,\n", " ((0, 1), (1, 0)): -0.07323076923076924,\n", - " ((0, 2), (-1, 0)): -0.05158410382845185,\n", - " ((0, 2), (0, -1)): -0.04733337973118637,\n", - " ((0, 2), (0, 1)): -0.048398095611170026,\n", - " ((0, 2), (1, 0)): 0.4729172313717893,\n", - " ((1, 0), (-1, 0)): 0.14857758363326573,\n", - " ((1, 0), (0, -1)): -0.0759999433406361,\n", - " ((1, 0), (0, 1)): -0.07695450531425811,\n", - " ((1, 0), (1, 0)): -0.09719395035017139,\n", - " ((1, 2), (-1, 0)): 0.21593724199115555,\n", - " ((1, 2), (0, -1)): 0.26570820298073916,\n", - " ((1, 2), (0, 1)): 0.19612684250448048,\n", - " ((1, 2), (1, 0)): 0.6105607273543103,\n", - " ((2, 0), (-1, 0)): 0.06795076480003,\n", - " ((2, 0), (0, -1)): -0.11306695825372484,\n", - " ((2, 0), (0, 1)): -0.105596446586541,\n", - " ((2, 0), (1, 0)): -0.10409381636745853,\n", - " ((2, 1), (-1, 0)): -0.0383184014263534,\n", - " ((2, 1), (0, -1)): -0.7913059177862865,\n", - " ((2, 1), (0, 1)): -0.7672970392961057,\n", - " ((2, 1), (1, 0)): -0.8402721538112866,\n", - " ((2, 2), (-1, 0)): 0.2351847866756862,\n", - " ((2, 2), (0, -1)): 0.24909509983624728,\n", - " ((2, 2), (0, 1)): 0.25112211666264095,\n", - " ((2, 2), (1, 0)): 0.7743960998734626,\n", - " ((3, 0), (-1, 0)): -0.1037923159515085,\n", - " ((3, 0), (0, -1)): -0.07807333741195537,\n", - " ((3, 0), (0, 1)): -0.9374064176172849,\n", - " ((3, 0), (1, 0)): -0.07323076923076924,\n", - " ((3, 1), None): -1,\n", - " ((3, 2), None): 1})" + " ((0, 2), (-1, 0)): 0.12165200587479848,\n", + " ((0, 2), (0, -1)): 0.09431411803674361,\n", + " ((0, 2), (0, 1)): 0.14047883620608154,\n", + " ((0, 2), (1, 0)): 0.19224095989491635,\n", + " ((1, 0), (-1, 0)): -0.09696833851887868,\n", + " ((1, 0), (0, -1)): -0.15641263417341367,\n", + " ((1, 0), (0, 1)): -0.15340385689815017,\n", + " ((1, 0), (1, 0)): -0.15224266498911238,\n", + " ((1, 2), (-1, 0)): 0.18537063683043895,\n", + " ((1, 2), (0, -1)): 0.17757702529142774,\n", + " ((1, 2), (0, 1)): 0.17562120416256435,\n", + " ((1, 2), (1, 0)): 0.27484289408254886,\n", + " ((2, 0), (-1, 0)): -0.16785234970594098,\n", + " ((2, 0), (0, -1)): -0.1448679824723624,\n", + " ((2, 0), (0, 1)): -0.028114098214323924,\n", + " ((2, 0), (1, 0)): -0.16267477943781278,\n", + " ((2, 1), (-1, 0)): -0.2301056003129034,\n", + " ((2, 1), (0, -1)): -0.4332722098873507,\n", + " ((2, 1), (0, 1)): 0.2965645851500498,\n", + " ((2, 1), (1, 0)): -0.90815406879654,\n", + " ((2, 2), (-1, 0)): 0.1905755278897695,\n", + " ((2, 2), (0, -1)): 0.07306332481110034,\n", + " ((2, 2), (0, 1)): 0.1793881607466996,\n", + " ((2, 2), (1, 0)): 0.34260576652777697,\n", + " ((3, 0), (-1, 0)): -0.16576962655130892,\n", + " ((3, 0), (0, -1)): -0.16840120349372995,\n", + " ((3, 0), (0, 1)): -0.5090288592720464,\n", + " ((3, 0), (1, 0)): -0.88375,\n", + " ((3, 1), None): -0.6897322258069369,\n", + " ((3, 2), None): 0.388990723935834})" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -484,9 +450,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -499,29 +465,27 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, + "execution_count": 17, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "defaultdict(>,\n", - " {(0, 0): 0.2244371077466747,\n", - " (0, 1): 0.3396752416362625,\n", - " (0, 2): 0.4729172313717893,\n", - " (1, 0): 0.14857758363326573,\n", - " (1, 2): 0.6105607273543103,\n", - " (2, 0): 0.06795076480003,\n", - " (2, 1): -0.0383184014263534,\n", - " (2, 2): 0.7743960998734626,\n", - " (3, 0): -0.07323076923076924,\n", - " (3, 1): -1,\n", - " (3, 2): 1})" + " {(0, 0): -0.01158029172666495,\n", + " (0, 1): 0.13072636267769677,\n", + " (0, 2): 0.19224095989491635,\n", + " (1, 0): -0.09696833851887868,\n", + " (1, 2): 0.27484289408254886,\n", + " (2, 0): -0.028114098214323924,\n", + " (2, 1): 0.2965645851500498,\n", + " (2, 2): 0.34260576652777697,\n", + " (3, 0): -0.16576962655130892,\n", + " (3, 1): -0.6897322258069369,\n", + " (3, 2): 0.388990723935834})" ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -539,10 +503,8 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, + "execution_count": 18, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -582,9 +544,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3" + "version": "3.5.2+" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 }