marty1885

from etaler import et
import gym

env = gym.make('FrozenLake-v0', is_slippery=False)

# The agent is very simple. Mathmetically, think it as a weaker Q table. Biologically, it is a bunch
# of perimedial neurons receving input signals and direcly connected to a motor. Then the reward is
# used for modifing the behaivor of the neurons.
class Agent:
    def __init__(self):

marty1885

marty1885

marty1885

marty1885

#include <string>
#include <iostream>
#include <iomanip>
#include <random>

#include <openssl/sha.h>

inline std::string sha256(const std::string str)
{
	unsigned char hash[SHA256_DIGEST_LENGTH+1];

marty1885

#include <vector>
#include <algorithm>
#include <chrono>
#include <random>
#include <cstdint>
#include <cassert>

// Banchmarking library
#include <hayai/hayai.hpp>

marty1885

#include <vector>
#include <algorithm>
#include <chrono>
#include <random>
#include <cstdint>
#include <cassert>

// Banchmarking library
#include <hayai/hayai.hpp>

marty1885

#include <fstream>
#include <tuple>
#include <vector>
#include <iostream>

int main()
{
	using vec2d = std::tuple<float, float>;
	std::ifstream in("input.txt");
	float x, y;

marty1885

void c1()
{
//=========Macro generated from canvas: c1/Canvas
//=========  (Sat Nov 16 10:57:34 2019) by ROOT version 6.18/04

   gStyle->SetCanvasPreferGL(kTRUE);

   TCanvas *c1 = new TCanvas("c1", "Canvas",10,570,700,500);
   gStyle->SetOptStat(0);
   c1->Range(-1.006644,-1.180079,1.006644,1.180079);

marty1885

#include <Etaler/Etaler.hpp>
#include <Etaler/Backends/CPUBackend.hpp>
//#include <Etaler/Backends/OpenCLBackend.hpp>
#include <Etaler/Algorithms/TemporalMemory.hpp>
#include <Etaler/Encoders/Scalar.hpp>
using namespace et;

#include <vector>
#include <chrono>
#include <random>