dmklee

import numpy as np
import matplotlib.pyplot as plt
import pybullet as pb
import pybullet_data

def read_parameters(dbg_params):
    '''Reads values from debug parameters
    
    Parameters
    ----------

jeasinema

#!/usr/bin/env python
# -*- coding:UTF-8 -*-

import torch
import torch.nn as nn
import torch.nn.init as init


def weight_init(m):
    '''

kaniblu

def init_gru(cell, gain=1):
    cell.reset_parameters()

    # orthogonal initialization of recurrent weights
    for _, hh, _, _ in cell.all_weights:
        for i in range(0, hh.size(0), cell.hidden_size):
            I.orthogonal(hh[i:i + cell.hidden_size], gain=gain)


def init_lstm(cell, gain=1):