JavaCPP Presets for Gym

^{Build status for all platforms: Commercial support:}

Introduction

This directory contains the JavaCPP Presets module for:

• Gym 0.26.2 https://gym.openai.com/

Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.

Documentation

Java API documentation is available here:

• http://bytedeco.org/javacpp-presets/gym/apidocs/

∗ Call Py_Initialize(cachePackages()) instead of just Py_Initialize().

Sample Usage

Here is a simple example of Gym based on the Python script available here:

• https://github.com/openai/gym/blob/master/examples/scripts/list_envs

We can use Maven 3 to download and install automatically all the class files as well as the native binaries. To run this sample code, after creating the pom.xml and ListEnvs.java source files below, simply execute on the command line:

 $ mvn compile exec:java

The pom.xml build file

<project>
    <modelVersion>4.0.0</modelVersion>
    <groupId>org.bytedeco.gym</groupId>
    <artifactId>listenvs</artifactId>
    <version>1.5.8</version>
    <properties>
        <exec.mainClass>ListEnvs</exec.mainClass>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>gym-platform</artifactId>
            <version>0.26.2-1.5.8</version>
        </dependency>

        <!-- Additional dependencies to use bundled full version of MKL -->
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>mkl-platform-redist</artifactId>
            <version>2022.2-1.5.8</version>
        </dependency>

    </dependencies>
    <build>
        <sourceDirectory>.</sourceDirectory>
    </build>
</project>

The ListEnvs.java source file

import org.bytedeco.javacpp.*;
import org.bytedeco.cpython.*;
import org.bytedeco.numpy.*;
import static org.bytedeco.cpython.global.python.*;
import static org.bytedeco.numpy.global.numpy.*;

public class ListEnvs {
    public static void main(String[] args) throws Exception {
        /* try to use MKL when available */
        System.setProperty("org.bytedeco.openblas.load", "mkl");

        Py_Initialize(org.bytedeco.gym.presets.gym.cachePackages());
        if (_import_array() < 0) {
            System.err.println("numpy.core.multiarray failed to import");
            PyErr_Print();
            System.exit(-1);
        }
        PyObject globals = PyModule_GetDict(PyImport_AddModule("__main__"));

        PyRun_StringFlags("from gym import envs\n"
                + "envids = [spec.id for spec in envs.registry.values()]\n"
                + "for envid in sorted(envids):\n"
                + "    print(envid)\n", Py_file_input, globals, globals, null);

        if (PyErr_Occurred() != null) {
            System.err.println("Python error occurred");
            PyErr_Print();
            System.exit(-1);
        }
    }
}