AhmetHamzaEmra
/ run_CMDP.py
Created
October 16, 2019 03:47
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| import numpy as np | |
| import gym | |
| import itertools | |
| import tensorflow as tf | |
| def discount_rewards(r, gamma = 0.8): | |
| discounted_r = np.zeros_like(r) | |
| running_add = 0 |
AhmetHamzaEmra
/ ConjugateMDP.py
Created
October 15, 2019 19:17
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| import numpy as np | |
| import gym | |
| import itertools | |
| import tensorflow as tf | |
| def discount_rewards(r, gamma = 0.8): | |
| discounted_r = np.zeros_like(r) | |
| running_add = 0 |
AhmetHamzaEmra
/ min-char-rnn.py
Created
February 2, 2018 17:56
— forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
AhmetHamzaEmra
/ CartPole.py
Created
July 23, 2017 02:24
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| import gym | |
| import random | |
| import numpy as np | |
| import tflearn | |
| from tflearn.layers.core import input_data, dropout, fully_connected | |
| from tflearn.layers.estimator import regression | |
| from statistics import median, mean | |
| from collections import Counter | |
| LR = 1e-3 |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <script src="https://d3js.org/d3.v3.min.js"></script> | |
| <style> | |
| body : {background-color: LightBlue}; | |
| </style> | |
| <script type="text/javascript"> | |
| function draw(geo_data) { |