ICML2019-TREX | Daniel Brown * Wonjoon Goo * Prabhat Nagarajan

by hiwonjoon Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | ICML2019-TREX Summary

ICML2019-TREX is a Python library. ICML2019-TREX has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ICML2019-TREX build file is not available. You can download it from GitHub.

Daniel Brown*, Wonjoon Goo*, Prabhat Nagarajan, and Scott Niekum. (* Equal Contribution). View on ArXiv | Project Website. This repository contains a code used to conduct experiments reported in the paper.

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Quality

Security

License

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ICML2019-TREX has a low active ecosystem.

It has 51 star(s) with 17 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 3 have been closed. On average issues are closed in 4 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ICML2019-TREX is current.

Quality

ICML2019-TREX has 0 bugs and 0 code smells.

Security

ICML2019-TREX has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ICML2019-TREX code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ICML2019-TREX is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ICML2019-TREX releases are not available. You will need to build from source code and install.

ICML2019-TREX 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.

ICML2019-TREX saves you 12408 person hours of effort in developing the same functionality from scratch.

It has 25008 lines of code, 2093 functions and 294 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ICML2019-TREX and discovered the below as its top functions. This is intended to give you an instant insight into ICML2019-TREX implemented functionality, and help decide if they suit your requirements.

Train network
Train the model
Runs the model
Run the model
Plot all results
Calculate one - sided energy distribution using an exponential distribution
Wrapper for symmetric symmetric Moving Average
Plots a list of data points
Build a train function
Go to desired goal
Create the DDPG agent
Launch the experiment
Generate rollout
Creates training data
Evaluate an environment
Load all results from a directory
Generate VMs for a given environment
Profile a TF running mean standard deviation
Build a policy
Evaluate PPO2 agent
Creates training data from mTurk rankings
Sample from the distribution
Train the reward function
Test distribution
Run a policy function
Plots the experiment summary

Get all kandi verified functions for this library.

ICML2019-TREX Key Features

No Key Features are available at this moment for ICML2019-TREX.

ICML2019-TREX Examples and Code Snippets

No Code Snippets are available at this moment for ICML2019-TREX.

Community Discussions

No Community Discussions are available at this moment for ICML2019-TREX.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ICML2019-TREX

You can download it from GitHub.
You can use ICML2019-TREX 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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