rtrl | This repo is accompanying our paper | Reinforcement Learning library

by rmst Python Version: v1.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | rtrl Summary

rtrl is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Tensorflow applications. rtrl has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This repo is accompanying our paper "Real-Time Reinforcement Learning" (Traditional Reinforcement Learning Real-Time Reinforcement Learning.

Support

Quality

Security

License

Reuse

Support

rtrl has a low active ecosystem.

It has 47 star(s) with 14 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 17 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rtrl is v1.0

Quality

rtrl has 0 bugs and 0 code smells.

Security

rtrl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rtrl code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rtrl 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

rtrl releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

rtrl saves you 546 person hours of effort in developing the same functionality from scratch.

It has 1277 lines of code, 145 functions and 16 files.

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

Top functions reviewed by kandi - BETA

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

Calculate statistics for the experiment
Add observation to memory
Runs an agent on the grid
Iterate through all episodes in a given checkpoint
Convert a partial partial to a dictionary
Dump obj to a pickle file
Run wandb
Show git info
Get the output of the subprocess
Return log environment variables
A test that tests the anime
Train the agent
Saves training data
Calculate the action
Collate tensors
Partition a tensor
Perform a step
Example example
Sample a batch of indices
Return a shallow copy of obj
Updates the weights according to the parameters

Get all kandi verified functions for this library.

rtrl Key Features

No Key Features are available at this moment for rtrl.

rtrl Examples and Code Snippets

Checkpointing

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

import rtrl
run = rtrl.load('experiment-1/state')
print(run.agent.memory[0])

Getting Started

Python

Lines of Code : 2

License : Permissive (MIT)

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pip install git+https://github.com/rmst/rtrl.git

python -m rtrl run rtrl:RtacTraining Env.id=Pendulum-v0

Mujoco Experiments

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

python -m rtrl run rtrl:RtacTraining Env.id=HalfCheetah-v2

python -m rtrl run rtrl:SacTraining Env.id=Ant-v2 Env.real_time=True

Community Discussions

Trending Discussions on rtrl

Scraping Forbes Global 2000 with Beautiful soup or API?

QUESTION

Scraping Forbes Global 2000 with Beautiful soup or API?

Asked 2020-Dec-05 at 13:28

I want to gather all of the global 2000 data from Forbes: https://www.forbes.com/global2000/#23d5375d335d

I've been trying to find what other people have done. The most recent project on github I found worked for these billionaire datasets. There isn't any documentation for the API so I'm not sure if there is an endpoint for the global 2000 list.

I have never worked with API's before. I want to make sure this is gatherable data...

...

ANSWER

Answered 2020-Dec-05 at 13:28

If all you want it Forbes Global 2000, then you might want to try this:

Source https://stackoverflow.com/questions/65153950

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

Vulnerabilities

No vulnerabilities reported

Install rtrl

This repo can be pip-installed via. To train an RTAC agent on the basic Pendulum-v0 task run.

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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