Julian Ramos julian-ramos
julian-ramos
/ styles.css
Created
January 13, 2020 16:41
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| body { | |
| font-size: 16px; | |
| font-family: Helvetica; | |
| background-color: aquamarine; | |
| } | |
| #instructors { | |
| background-color: beige; | |
| padding: 10px; | |
| } |
julian-ramos
/ index.html
Last active
January 13, 2020 16:46
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> | |
| <meta name="description" content="PUI/SSUI Lab Week 1" /> | |
| <title>Week 1</title> | |
| <link rel="stylesheet" type="text/css" href="styles.css" /> | |
| <link rel="shortcut icon" href="favicon.ico" /> |
julian-ramos
/ gym_example_mod.py
Created
November 18, 2017 00:19
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| #!/usr/bin/env python | |
| # Python imports. | |
| import sys | |
| import logging | |
| # Other imports. | |
| import srl_example_setup | |
| from simple_rl.agents import LinearQLearnerAgent, RandomAgent,QLearnerAgent | |
| from simple_rl.tasks import GymMDP |
julian-ramos
/ LinearQLearnerAgentClass.py
Created
November 18, 2017 00:14
The modification was done on _phi (commented out the normalization) and _update_weights (making zero the Q(s',a) when s' is terminal)
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| ''' | |
| LinearQLearnerAgentClass.py | |
| Contains implementation for a Q Learner with a Linear Function Approximator. | |
| ''' | |
| # Python imports. | |
| import numpy as np | |
| import math |
julian-ramos
/ score.py
Created
March 7, 2016 17:03
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| import numpy as np | |
| import matplotlib.pylab as plt | |
| from scipy.stats import skew | |
| from scipy.stats import entropy | |
| filename=["kmeans.meanshift.normalized.500.bandwidth.1.0.label.freq.csv", | |
| "kmeans.meanshift.normalized.500.bandwidth.1.1.label.freq.csv", | |
| "kmeans.meanshift.normalized.1000.bandwidth.1.1.label.freq.csv", | |
| "kmeans.meanshift.normalized.1000.bandwidth.1.2.label.freq.csv"] |
julian-ramos
/ gist:19bc134e5c238338cd38
Created
February 11, 2016 22:54
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| if __name__=="__main__": | |
| # A=[[1,2,1,0],[3,1,0,1]] | |
| # A=np.array(A) | |
| # | |
| # b=np.array([6,9]) | |
| # c=np.array([[-2],[-1],[0],[0]]) | |
| # I=np.array([2,3]) | |
| # | |
| # print(simplex(I, c, A, b)) | |
| # |
julian-ramos
/ SensorService.java
Created
July 21, 2015 18:40
Code to have a foreground service recording accelerometer data at a sampling rate that is at least the one specified when the sensor is registered. This service restarts itself and also survives power saving modes. This was only tested on an android watch
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| public class SensorService extends Service implements SensorEventListener, GoogleApiClient.ConnectionCallbacks, GoogleApiClient.OnConnectionFailedListener { | |
| // final Handler handler = new Handler(); | |
| private PowerManager pm; | |
| private PowerManager.WakeLock wl; | |
| GoogleApiClient googleClient; | |
| String tail="."; | |
| String recordingStrategy=""; | |
| int countDM=0; | |
| boolean thread=false; |