tesp | Meta Reinforcement Learning with Task | Reinforcement Learning library
kandi X-RAY | tesp Summary
kandi X-RAY | tesp Summary
tesp is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Reinforcement Learning applications. tesp has no bugs, it has no vulnerabilities and it has low support. However tesp build file is not available and it has a Non-SPDX License. You can download it from GitHub.
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
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tesp has a low active ecosystem.
It has 24 star(s) with 8 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 8 have been closed. On average issues are closed in 9 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tesp is current.
Quality
tesp has no bugs reported.
Security
tesp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tesp has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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tesp releases are not available. You will need to build from source code and install.
tesp has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed tesp and discovered the below as its top functions. This is intended to give you an instant insight into tesp implemented functionality, and help decide if they suit your requirements.
- Train the policy
- Gets weights for the given policies
- Set weights
- Collect results from the rollouts
- Generate Vtrace from logits
- Calculate Vtrace from Importance weights
- Calculate softmax cross entropy
- Run multiple trials
- Add configurations to the experiment
- Build the LSTM layer
- Sample from the distribution
- Generate a noisy layer
- Build RNN layers
- Setup the network
- Build loss in phs
- Pull batches from the evaluator
- Train the model
- Calculate a single step
- Create a handler for serving HTTP requests
- Create argument parser
- Train MNIST dataset
- Handler for runner
- Launch Ray agent
- Run a single evaluation
- Performs inner evaluator
- Deepnn layer
Get all kandi verified functions for this library.
tesp Key Features
No Key Features are available at this moment for tesp.
tesp Examples and Code Snippets
No Code Snippets are available at this moment for tesp.
Community Discussions
Trending Discussions on tesp
QUESTION
add elements of html file inside iframe to the DOM tree of the original file
Asked 2017-Jan-15 at 19:44
I have test.php
file that contains iframe which gets its source from iframe.html
when button click
is clicked.
However I want to apply some javascript code on the elements of the file inside iframe (iframe.html
) but nothing happening, here is my code:
tesp.php file:
...ANSWER
Answered 2017-Jan-15 at 19:44You need to get inside the iframe document. In jQuery you can do this using
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tesp
You can download it from GitHub.
You can use tesp 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.
You can use tesp 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
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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