tdavchev

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt


def smooth(scalars, weight): 
    last = scalars[0] 
    smoothed = list() 
    for point in scalars: 
        smoothed_val = last * weight + (1-weight)*point 

tdavchev

'''
Convert videos to .gif files.

@date: 28.02.2018
@author: Todor Davchev
'''

import argparse
import os

tdavchev

class QPoptimizer(object):
    def __call__(self, feature_num, learner, expert):
        w = cp.Variable(feature_num)

        obj_func = cp.Minimize(cp.norm(w))
        constraints = [(expert-learner) @ w >= 2]

        prob = cp.Problem(obj_func, constraints)
        prob.solve()

tdavchev

for t in range(T):
   exp_feat += gamma**t * (trajectory[t, :] - goal)**2