sushantkumar23

# trade_env.py
import numpy as np
import gym

class SineEnv(gym.Env):
    """
    An Env that trades for n steps and returns rewards and observations by following
    a sine curve
    """
    def __init__(self, n=200, offset=3, amplitude=0.6, wavelength=0.1):

sushantkumar23

"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

sushantkumar23

"""
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)

sushantkumar23

# Sushant Kumar