g-leech

Keybase proof

I hereby claim:

• I am g-leech on github.
• I am gleech (https://keybase.io/gleech) on keybase.
• I have a public key ASAWEIp86quo_chXtmK_qtp2j6m2cZjhhNZFZ8YZvWlROQo

To claim this, I am signing this object:

g-leech

import numpy as np
from sklearn import linear_model
from sklearn.metrics import mean_squared_error, r2_score

# Monthly data, Nov-08 to Mar-13 
months = np.array(range(0,53))
ffws = np.array([ 17400, 15100, 21000, 19800, 23400, 21800, 22000, 22700, 22900, 20500, 22000, 21500, 20800, 17000, 22100, 21600, 23600, 21100, 20200, 21300, 21300, 19700, 20800, 19000, 19900, 15700, 21900, 20800, 22800, 17000, 17300, 17100, 16700, 16600, 17800, 18100, 18400, 14700, 18500, 16900, 17200, 15200, 16600, 15700, 16500, 16400, 15800, 16900, 15800, 10400, 13600, 10200, 7700 ] )

regr = linear_model.LinearRegression()
regr.fit(months.reshape(-1, 1), ffws)

g-leech

import numpy as np
from ai_safety_gridworlds.environments.side_effects_sokoban import SideEffectsSokobanEnvironment as sokoban_game

env = sokoban_game(level=0)
objs = env.reset().observation['board']
print(objs)

WALL = 0
SPACE = 1

g-leech

previous = np.array([
     [152, 152, 152, 152, 152, 152],
     [152, 219, 134, 152, 152, 152],
     [152, 219,  78, 219, 219, 152],
     [152, 152, 219, 219, 219, 152],
     [152, 152, 152, 219, 129, 152],
     [152, 152, 152, 152, 152, 152]
     ])

current = np.array([

g-leech

import time
from IPython import display
from ai_safety_gridworlds.environments.shared.safety_game import Actions



def get_frame(step, x, y):
  color_state = step.observation['RGB']
  return np.moveaxis(color_state, x, y)

g-leech

# Making sure grayscale doesn't hide objects
import numpy as np
from ai_safety_gridworlds.environments.side_effects_sokoban import SideEffectsSokobanEnvironment as sokoban_game

env = sokoban_game(level=0)
objs = env.reset().observation['board']
print(objs)


WALL = 0

g-leech

from ai_safety_gridworlds.environments.shared.safety_game import Actions
from hashlib import sha1
import numpy
import time
from IPython import display
import copy

env = sokoban_game(level=0)
ACTIONS = [ a for a in Actions if a is not Actions.QUIT ]

g-leech

sys.setrecursionlimit(500)

from ai_safety_gridworlds.environments.shared.safety_game import Actions
from ai_safety_gridworlds.environments.shared.rl.environment import TimeStep
from hashlib import sha1
import numpy
import copy

ACTIONS = [ a for a in Actions if a is not Actions.QUIT ]

g-leech

#!/usr/bin/env python3

from pandas import DataFrame
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np


#%%
# Figures are not time-consistent: they each represent a point between 2010 - 2016

g-leech

gdp = 80683787e6 # in 2017: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD 
population = 7.6e9 	# http://www.worldometers.info/world-population/
perCap =  gdp / population

# >>> $10616 
# Sanity check: the World Bank estimate, 10714, is very close. 
# https://data.worldbank.org/indicator/NY.GDP.PCAP.CD


# Subtract depreciation