sdan

// C++ includes used for precompiling -*- C++ -*-

// Copyright (C) 2003-2013 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library.  This library is free
// software; you can redistribute it and/or modify it under the
// terms of the GNU General Public License as published by the
// Free Software Foundation; either version 3, or (at your option)
// any later version.

sdan

int[][] result;
float t, c;

float ease(float p) {
  return 3*p*p - 2*p*p*p;
}

float ease(float p, float g) {
  if (p < 0.5) 
    return 0.5 * pow(2*p, g);

sdan

int[][] result;
float t, c;

float ease(float p) {
  return 3*p*p - 2*p*p*p;
}

float ease(float p, float g) {
  if (p < 0.5) 
    return 0.5 * pow(2*p, g);

sdan

// modified distill.pub template v1 for world models.
(function (global, factory) {
	typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
	typeof define === 'function' && define.amd ? define(['exports'], factory) :
	(factory((global.dl = global.dl || {})));
}(this, (function (exports) { 'use strict';

var html = function(dom) {
  if (!dom.querySelector("html").getAttribute("lang")) {
    dom.querySelector("html").setAttribute("lang", "en");

sdan

Keybase proof

I hereby claim:

• I am dantuluri on github.
• I am dantuluri (https://keybase.io/dantuluri) on keybase.
• I have a public key ASD0w4Un6XlOumqA6HXmIUrcbhMZD_wNS4D8iDE2X4bfLwo

To claim this, I am signing this object:

sdan

import numpy as np
import math
import tensorflow as tf
from mpi4py import MPI
from spinup.utils.mpi_tools import broadcast


def flat_concat(xs):
    return tf.concat([tf.reshape(x,(-1,)) for x in xs], axis=0)

sdan

import numpy as np
import math
import tensorflow as tf
import gym
import time
import spinup.algos.vpg.core as core
from spinup.utils.logx import EpochLogger
from spinup.utils.mpi_tf import MpiAdamOptimizer, sync_all_params
from spinup.utils.mpi_tools import mpi_fork, mpi_avg, proc_id, mpi_statistics_scalar, num_procs

sdan

import numpy as np
import math
import tensorflow as tf
from mpi4py import MPI
from spinup.utils.mpi_tools import broadcast


def flat_concat(xs):
    return tf.concat([tf.reshape(x,(-1,)) for x in xs], axis=0)

sdan

import numpy as np
import math
import tensorflow as tf
import gym
import time
import spinup.algos.vpg.core as core
from spinup.utils.logx import EpochLogger
from spinup.utils.mpi_tf import MpiAdamOptimizer, sync_all_params, MpiAdadeltaOptimizer, MpiAdagradOptimizer, MpiFtrlOptimizer, MpiGradientDescentOptimizer, MpiMomentumOptimizer, MpiProximalAdagradOptimizer, MpiProximalGradientDescentOptimizer, MpiRMSPropOptimizer, MpiAdaMaxOptimizer, MpiAdamGSOptimizer, MpiAdamWOptimizer, MpiAddSignOptimizer, MpiGGTOptimizer, MpiLARSOptimizer, MpiLazyAdamGSOptimizer, MpiLazyAdamOptimizer, MpiMomentumWOptimizer, MpiNadamOptimizer, MpiPowerSignOptimizer, MpiShampooOptimizer
from spinup.utils.mpi_tools import mpi_fork, mpi_avg, proc_id, mpi_statistics_scalar, num_procs

sdan

import numpy as np
import math
import tensorflow as tf
from mpi4py import MPI
from spinup.utils.mpi_tools import broadcast


def flat_concat(xs):
    return tf.concat([tf.reshape(x,(-1,)) for x in xs], axis=0)