Run with defaults
python vpg.py
def conv2d(inputs, filter, strides, name='conv2d'): | |
k = tf.get_variable('W', filter, initializer=xavier_initializer_conv2d()) | |
b = tf.get_variable('b', filter[-1], initializer=tf.constant_initializer(0.0)) | |
conv = tf.nn.conv2d(inputs, k, strides, 'SAME') | |
bias_add = tf.nn.bias_add(conv, b) | |
return tf.nn.relu(bias_add, name=name) | |
def vision_model(frames, n_frames): | |
with tf.variable_scope('Conv1') as scope: |
Run with defaults
python vpg.py
# User configuration | |
export PATH="$HOME/.linuxbrew/bin:$PATH" | |
export MANPATH="$HOME/.linuxbrew/share/man:$MANPATH" | |
export INFOPATH="$HOME/.linuxbrew/share/info:$INFOPATH" | |
# add cuda tools to command path | |
export PATH=/usr/local/cuda/bin:${PATH} | |
export MANPATH=/usr/local/cuda/man:${MANPATH} | |
# add cuda libraries to library path |
To replicate run | |
python cem.py --algorithm pcem --outdir CartPole-v0-pcem | |
The --outdir argument is optional. If left as is results will be written to /tmp/CartPole-v0-pcem. |
Implements the Cross-Entropy Method with decreasing noise added to the variance updates as described in [1]. | |
Running cem.py with the default settings should reproduce results. | |
[1] Szita, Lorincz 2006 | |
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.81.6579&rep=rep1&type=pdf |
{ | |
"parser": "babel-eslint", | |
"env": { | |
"node": true, | |
"mocha": true | |
}, | |
"rules": { | |
"brace-style": 2, | |
"camelcase": 2, | |
"comma-dangle": [2, "never"], |
Some questions to ask during interviews: | |
* What does success look like for this position? How will I know if I am accomplishing what is expected of me? | |
* What is the last project you shipped? What was the goal, how long did it take, what were the stumbling blocks, what tools did you use, etc. | |
* What will my first 90 days in this role look like? First 180 days? | |
* Who will I report to and how many people report to that person? Do they have regular 1:1 with their team members? | |
* Why did the last person who quit this team leave? The company? | |
* If a startup, how long is your runway? How are financial decisions made? | |
* What would be my first project here? Has someone already been working on this or is this in the aspirational stage? | |
* What is the current state of the data infrastructure? How much work needs to be done on getting the infrastructure and pipeline into shape before we start analyzing that data? |
" General | |
set encoding=utf-8 | |
set fileencoding=utf-8 | |
" Match and Search | |
set ignorecase | |
set smartcase | |
set hlsearch | |
set incsearch | |
" set autochdir | |
set tabstop=4 |
from __future__ import print_function | |
from scrapy.selector import Selector | |
import requests | |
def scrape_comments(url): | |
comments = [] | |
r = requests.get(url).text | |
sel = Selector(text=r) | |
rough_comments = sel.xpath("//span[@class='comment']/span") |
from __future__ import print_function, absolute_import | |
import cgt | |
from cgt import nn | |
from cgt.distributions import categorical | |
import numpy as np | |
from load import load_mnist | |
import time | |
epochs = 10 | |
batch_size = 128 |