surreal | Super Rapid Reinforcement Learning Algo Implementation | Machine Learning library
kandi X-RAY | surreal Summary
kandi X-RAY | surreal Summary
Super Rapid Reinforcement Learning Algo Implementation Library
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Make a Makeable object
- Load a configuration from a file
- Return the value at index
- Return the class corresponding to the given lookup_type
- Call the network
- Sample from distribution
- complement a reference structure
- Sample from the distribution
- Performs synchronous actions
- Creates the output_space and distributions
- LSTM layer
- Calculate the objective function
- Build a text processing stack
- Add a new main axis
- Create a variable
- Convenience constructor for constructing a gradient curve
- Handle an event
- Add new records to the slice
- Sample event loop
- Create pre - concatnet networks
- Event loop
- Updates the model with the given labels
- Run the loop
- Make a copy of the graph
- Perform a synchronous action
- Create a keras model
surreal Key Features
surreal Examples and Code Snippets
# Add sars't-tuple to memory.
if self.s and self.a:
self.memory.add_records(dict(s=self.s, a=self.a, r=r, s_=s_, t=t)) # s_ = s'; t = is s' terminal?
# Handle ε-greedy exploration (decay).
if random() < self.epsilon(time_
@GithubRepo{,
author = {Mika, Sven},
title = {{Surreal: SUper-Rapid REinforcement learning Algo implementation Library}},
repo = {{https://github.com/ducandu/surreal}},
year = {2019},
month = oct,
}
Community Discussions
Trending Discussions on surreal
QUESTION
I have 2 boolean variables:
...ANSWER
Answered 2021-Feb-11 at 02:23Couldn't you do something like:
QUESTION
I'm currently trying to solve a little problem.
I have the following code. I try to filter and re-render the fetched movielist based on the chosen genre.
So far i am able to cast the selected option to an object in my js-script but i don't know where to go from here. The genre values in my observable array is an array of its own since one movie can have multiple genres.
Here's my script so far:
...ANSWER
Answered 2020-Dec-12 at 01:27You could add a computed observable filteredMoviesList
which would go through each of the filters you describe and filter for the selected genre. Then in your html you would just bind your foreach binding to that instead of moviesList
. Here is a simple example:
JS
QUESTION
I have a text file consist of words, emotion-category, and corresponded score to each emotion.
...ANSWER
Answered 2020-Oct-12 at 16:30This should do what you need, I think
QUESTION
How can I set an image to ImageView?
The idea of my app is to show the different type of RecyclerView's view holder according to the data class in a RecyclerView. Data classes look like this:
...ANSWER
Answered 2020-Aug-18 at 12:13The error says that your game_pic
variable is null.
One workaround I can suggest without seeing your code:
QUESTION
I'm trying to implement Conway's surreal numbers in Scala. A surreal number is defined recursively – as a pair of sets of surreal numbers, called left and right, such that no element in the right set is less than or equal to any element in the left set. Here the relation "less than or equal to" between surreal numbers is also defined recursively: we say that x ≤ y if
- there is no element a in the left set of x such that y ≤ a, and
- there is no element b in the right set of y such that b ≤ x.
We start with defining zero as a pair of empty sets, then use zero to define 1 and -1, and so on.
I cannot figure out how to enforce the definition of a surreal number at compile time. This is what I have now:
...ANSWER
Answered 2020-Jun-26 at 13:15You could define a macro in order to execute calculations at compile time
QUESTION
...ANSWER
Answered 2020-Jun-03 at 00:43You can use explode to get the value of the hash if it is the last key/value pair in the string using the following method...
Online PHP Editer:
QUESTION
I would like to compare two list of different size using JaroWinkler similarity. List_1
has 5
elements and it comes from a column dataframe, e.g.
ANSWER
Answered 2020-May-31 at 01:42You can simply do:
QUESTION
In this problem I want to map a function over multiple data inputs to create output showing frequencies of item responses.
First I create two data sets using the psych
package:
ANSWER
Answered 2020-May-25 at 22:19Here, we could use mget
to get the values of the objects
QUESTION
Have been out of Swift coding for almost a year, I'm back.
Download Xcode 10 beta. Have I lost my mind? I've tried every trick I know, none of the UI elements show up in storyboard. Zero. The sidebar is empty.
Xcode 10:
Xcode 9, no problem there they are, all my UI buttons, etc.
thanks, this is kind of surreal. :-)
...ANSWER
Answered 2018-Oct-22 at 13:27Library content has moved from the bottom of the Inspector
area to an overlay window, which can be moved and resized like Spotlight
search. It dismisses once items are dragged, but holding the Option
key before dragging will keep the library open for an additional drag.
The library can be opened via:
a new toolbar button (image attached);
the
View
>Libraries
menu;or the ⇧⌘L keyboard shortcut.
QUESTION
I've created a DMR Topic model (via Java API) which calculates the topic distribution based on the publication-year of the documents.
The resulting distribution is a bit confusing, because there are a lot of negative propabilities. Sometimes all propabilities for a whole topic are negative values. See:
Q1: Why are there negative values? The lowest possible possibility for a topic distribution for a given feature should be at least 0,0 ... I guess?
Additional I build a LDA model where the ModelLogLikelihood seems to be surreal. I trained the model with nearly 4 million documents and 20 topics. Alpha =1.0 ; Beta = 0.01 ; # iterations 1000;
Results in Model-Log likelihood: -8.895651309362761E8
Q2: Can this value be correct? Or am I doing something wrong?
...ANSWER
Answered 2020-Mar-14 at 18:55Thanks for using DMR! LDA assumes that the prior for the topic distribution for each document is a Dirichlet distribution. The parameters for a K-dimensional Dirichlet are K non-negative real numbers. DMR-LDA generates a document-specific prior based on the properties of a document.
Q1: These are not probabilities, they are regression coefficients. If you have a document with feature 2014
, the value for the Dirichlet parameter for topic 1 with the expression exp(-4.5 + -0.25)
. This is the default parameter plus the offset for 2014, exponentiated to make it non-negative. These values are equivalent to about 0.01 for the default value with no additional features, and 0.008 (78%) for 2014.
Q2: This is a common confusion! The key is that this is a log probability. The log function crosses 0 at 1, since anything to the 0 is 1. The log of any value less than 1 is negative. Since all probabilities are less than or equal to one, all log probabilities are zero or negative. The other thing that often surprises people is how large the log probabilities are. Let's say you have a language model where each word token is independent, and the probability of a given word is usually around 1/1000. The log probability of one word is therefore around -7.0. The joint probability of a whole collection is the product of the token probabilities, so the log of that joint probability is the sum of -7. I'm guessing your collection has about 100M tokens?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install surreal
You can use surreal like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page