rl4j | Deep Reinforcement Learning for the JVM | Machine Learning library

by deeplearning4j Java Version: Current License: Non-SPDX

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

kandi X-RAY | rl4j Summary

rl4j is a Java library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Unity applications. rl4j has no bugs, it has no vulnerabilities, it has build file available and it has low support. However rl4j has a Non-SPDX License. You can download it from GitHub.

For support questions regarding RL4J, please contact help@pathmind.com. RL4J is a reinforcement learning framework integrated with deeplearning4j and released under an Apache 2.0 open-source license. Both for Low-Dimensional (array of info) and high-dimensional (pixels) input.

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Support

rl4j has a low active ecosystem.

It has 333 star(s) with 121 fork(s). There are 51 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 53 have been closed. On average issues are closed in 89 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rl4j is current.

Quality

rl4j has 0 bugs and 0 code smells.

Security

rl4j has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rl4j code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rl4j 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

rl4j 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.

Installation instructions are available. Examples and code snippets are not available.

It has 5395 lines of code, 545 functions and 103 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed rl4j and discovered the below as its top functions. This is intended to give you an instant insight into rl4j implemented functionality, and help decide if they suit your requirements.

set the target states
Train a sub - epoch
Sets up the game .
Builds a graph of actors .
Trains the benchmark .
Initiate a new MDP model .
Build a DQN .
Creates the sub directory .
Applies the given gradient
Transform an INDArray

Get all kandi verified functions for this library.

rl4j Key Features

No Key Features are available at this moment for rl4j.

rl4j Examples and Code Snippets

No Code Snippets are available at this moment for rl4j.

Community Discussions

Trending Discussions on rl4j

I need help identifying a problem which causes console debug spam in Anylogic PLE using RL4J on Mac

Simple Reinforcement Learning example

RL4J A3C DeepLearning Throwing a Output from network is not a probability distribution

QUESTION

I need help identifying a problem which causes console debug spam in Anylogic PLE using RL4J on Mac

Asked 2020-Dec-02 at 01:23

I am using RL4J in the newest version of Anylogic PLE on a Mac to train a reinforcement learning agent. I created the jar for the RL4J-core Version 1.0.0-beta7 using Maven in IntelliJ and added it to Anylogic.

As soon as I execute my model the console starts getting flooded by debug notifications and this doesn't stop until I end the execution. The displayed messages seem to always repeat in a patter with minor differences if any at all.

This is very annoying as I am unable to view the output or error messages printed to the console. I did a lot of research, but was unable to narrow the problem down as I am neither an expert in Anylogic nor in Java. Other models without the RL4J jar run perfectly fine in Anylogic.

I tried using different versions of RL4J, but the problem kept occurring.

The first lines which are printed to the console after the start look as following:

...

ANSWER

Answered 2020-Dec-02 at 01:23

try this:

Create a file called "logback.xml" on your project folder This file should look like this with nothing in it:

Source https://stackoverflow.com/questions/65093505

QUESTION

Simple Reinforcement Learning example

Asked 2020-Jun-16 at 11:23

i try to create a simplified rl4j example based on the existing Gym and Malmo examples. Given is a sine wave and the AI should say if we are on top of the wave, on bottom or somewhere else(noop).

The SineRider is the "Game", State is the value of the sine function(Just one double)

The problem is it never calls the step function in SineRider to get a reward. What do i wrong?

Kotlin:

...

ANSWER

Answered 2020-Jun-16 at 11:23

The problem was the isDone() function. It say always the game is over.

Code changes:

Source https://stackoverflow.com/questions/62405053

QUESTION

RL4J A3C DeepLearning Throwing a Output from network is not a probability distribution

Asked 2020-Mar-26 at 15:11

So right now I am taking the painful dive of exploring deep learning using Deep Learning 4j specifically RL4j and reinforcement learning. I have been relatively unsuccessful in teaching my computer how to play snake but I persevere.

Anyway so I have been running into a problem that I can't solve I'll set my program to run while I go to sleep or am at work (Yes I work in an essential industry) and when I check back it has thrown this error on all running threads and the program has completely stopped, mind you this usually happens about an hour into training.

...

ANSWER

Answered 2020-Mar-26 at 15:11

What you are seeing is that your network is running into NaN's. That is what the question marks in the exception mean. There are many reasons why that may happen. You say, you are running it for quite a while, so it may be that you get under- or overflows at some point. Some regularization may help or some gradient clipping.

However, RL4J itself is being reworked as of beta6 and should be in a whole lot better state come next release.

If you want to try the current state, there are snapshots you can use and there is also a working A3C example at https://github.com/RobAltena/cartpole/blob/master/src/main/java/A3CCartpole.java

For some more thorough help, you should probably take a look at the DL4J community forum at community.konduit.ai . It is more suited to the back and forth that is likely needed to help you build a successful AI for your snake game.

Source https://stackoverflow.com/questions/60869267

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

Vulnerabilities

No vulnerabilities reported

Install rl4j

mvn install

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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