rllab | evaluating reinforcement learning algorithms | Reinforcement Learning library

by rll Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(4)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | rllab Summary

rllab is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch, Tensorflow applications. rllab has no vulnerabilities, it has build file available and it has medium support. However rllab has 21 bugs and it has a Non-SPDX License. You can download it from GitHub.

rllab is a framework for developing and evaluating reinforcement learning algorithms. It includes a wide range of continuous control tasks plus implementations of the following algorithms:. rllab is fully compatible with OpenAI Gym. See here for instructions and examples. rllab only officially supports Python 3.5+. For an older snapshot of rllab sitting on Python 2, please use the py2 branch. rllab comes with support for running reinforcement learning experiments on an EC2 cluster, and tools for visualizing the results. See the documentation for details. The main modules use Theano as the underlying framework, and we have support for TensorFlow under sandbox/rocky/tf.

Support

Quality

Security

License

Reuse

Support

rllab has a medium active ecosystem.

It has 2784 star(s) with 802 fork(s). There are 172 watchers for this library.

It had no major release in the last 6 months.

There are 102 open issues and 81 have been closed. On average issues are closed in 94 days. There are 15 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rllab is current.

Quality

rllab has 21 bugs (7 blocker, 0 critical, 14 major, 0 minor) and 711 code smells.

Security

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

rllab code analysis shows 0 unresolved vulnerabilities.

There are 14 security hotspots that need review.

License

rllab 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.

Reuse

rllab releases are not available. You will need to build from source code and install.

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

rllab saves you 16680 person hours of effort in developing the same functionality from scratch.

It has 33149 lines of code, 3288 functions and 306 files.

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

Top functions reviewed by kandi - BETA

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

fmin function .
tells the program
Computes the eigenvalues of a QR decomposition .
Run EC2 .
Run the experiment .
Converts a tabular data into a table .
Get the plot instruction
Creates a kube pod from the given parameters .
Program entry point .
Plot divers .

Get all kandi verified functions for this library.

rllab Key Features

No Key Features are available at this moment for rllab.

rllab Examples and Code Snippets

Getting Started,Local installation

Python

Lines of Code : 22

License : No License

Copy

cd 
git clone https://github.com/rll/rllab.git
cd rllab
git checkout b3a28992eca103cab3cb58363dd7a4bb07f250a0
export PYTHONPATH=$(pwd):${PYTHONPATH}

mkdir -p /tmp/mujoco_tmp && cd /tmp/mujoco_tmp
wget -P . https://www.roboti.us/download/mjpr

How to run MF

Jupyter Notebook

Lines of Code : 9

License : No License

Copy

python trpo_run_mf.py --seed=0 --save_trpo_run_num=1 --which_agent=4 --num_workers_trpo=4
python trpo_run_mf.py --seed=0 --save_trpo_run_num=1 --which_agent=2 --num_workers_trpo=4
python trpo_run_mf.py --seed=0 --save_trpo_run_num=1 --which_agent=1 -

How to run everything

Jupyter Notebook

Lines of Code : 9

License : No License

Copy

cd scripts
./swimmer_mbmf.sh
./cheetah_mbmf.sh
./hopper_mbmf.sh
./ant_mbmf.sh

python main.py --seed=0 --run_num=1 --yaml_file='swimmer_forward'
python mbmf.py --run_num=1 --which_agent=2
python trpo_run_mf.py --seed=0 --save_trpo_run_num=1 --which_a

tensorlayer - tutorial TRPO

Python

Lines of Code : 286

License : Non-SPDX

Copy

"""
Trust Region Policy Optimization (TRPO)
---------------------------------------
PG method with a large step can collapse the policy performance,
even with a small step can lead a large differences in policy.
TRPO constraint the step in policy spa

Community Discussions

Trending Discussions on rllab

Load model from snapshot in the Flow environment

Python- error in importing rllab

QUESTION

Load model from snapshot in the Flow environment

Asked 2019-Jun-18 at 22:14

Repost from Flow user "ml jack":

I'm in the process of RL training with flow and rllab. Snapshots are periodically saved. Is there a way to load these snapshot and test/re-evaluate them in the flow environment?

...

ANSWER

Answered 2019-Jun-18 at 22:14

From Flow Team -----

"Yes! So if you look in the tutorials, there's a tutorial on visualizing.

Basically, run python visualizer_rllab.py path/to/pkl and that should do it! Note: you have to specify which pkl file you want in the path as in python visualizer_rllab.py path_to_pkl/name_of_pkl_file. Advanced usage should be described in the tutorial."

Source https://stackoverflow.com/questions/56552457

QUESTION

Python- error in importing rllab

Asked 2018-Apr-14 at 04:58

I installed rllab successfully:

...

ANSWER

Answered 2018-Apr-14 at 04:58

I know this thread is quite old, but I started working on rllab lately and this is my understanding. rllab3 is a conda envrionment similar to virtual environment, as mentioned in the rllab documentation. It doesn't have the actual modules installed within it, you'd need to install it seperately.

Source https://stackoverflow.com/questions/47123353

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

Vulnerabilities

No vulnerabilities reported

Install rllab

You can download it from GitHub.
You can use rllab 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.