dhruvramani

#!/usr/bin/env python

import gym
import numpy as np
import tensorflow as tf


class PolicyGradientAgent(object):

    def __init__(self, hparams, sess):

dhruvramani

def __init__(self, config):
        self.n_steps = self.config.hyperparams
        self.n_input, self.n_hidden =  4, 20
        self.lstm = tf.contrib.rnn.BasicLSTMCell(self.n_hidden, forget_bias=1.0, state_is_tuple=False)
    
def neural_search(self):
        state = tf.Variable(tf.zeros(shape=[4]))
        inp = tf.Variable(tf.random_normal(shape=[4]))
        output = list()
        for _ in range(self.n_steps):

dhruvramani

Keybase proof

I hereby claim:

• I am dhruvramani on github.
• I am dhruvramani (https://keybase.io/dhruvramani) on keybase.
• I have a public key whose fingerprint is 4A76 97A0 889C 6205 03F5 DF31 E625 FD7B D7A2 91CC

To claim this, I am signing this object:

dhruvramani

#include <iostream>
#include <conio>

typedef char string[20];

void printDashes(int a[])
{
	cout<<"+";
   for(int i=0;i<2;i++) {
   	for(int j=0;j<a[i];j++)

dhruvramani

#Messed up code ahead!

def replace_all(text, dic):
    return ''.join(dic.get(ch, ch) for ch in text)

def printStars(string):
    for i in string:
        if not(i == " "):
            print("*" ,end="")
        else:

dhruvramani

#include <iostream>
#include <math>

#define Length 75

int main()
{
	char a[Length][Length];

   for(int i=0;i<Length;i++)