Metadata-Version: 2.1
Name: trojai_rl
Version: 0.1.0
Summary: TrojAI RL model generation library
Home-page: https://github.com/trojai/trojai_rl
Author: Chace Ashcraft Kiran Karra
Author-email: chace.ashcraft@jhuapl.edu, kiran.karra@jhuapl.edu
License: Apache License 2.0
Description: ![alt-text-1](docs/source/images/TrojAI_logo.png "TrojAI Logo") ![alt-text-2](docs/source/images/apl2.png "APL Logo")
        
        ## Overview
        This is the top-level TrojAI RL module.  It contains two submodules: `datagen` and `modelgen`. 
        `datagen` contains the reinforcement learning (RL) environments used to generate trojaned models. The `modelgen` module contains the necessary API functions to generate DRL models from RL environments. 
        
        ## Getting Started
        Check out our documentation here: <https://trojai.readthedocs.io>
        
        This package is designed to be installed via `pip`, i.e. 
        
            pip install trojai_rl
            
        or by cloning the repository and performing a local install (link may need to be updated):
        
            git clone https://github.com/trojai/trojai_rl.git
            cd trojai_rl
            pip install .
            
        Note that the `gym` package may require some additional dependencies and support for Windows is still experimental. See: <https://github.com/openai/gym> for additional details.
        
        ## Repository Organization
        ```
        trojai_rl
        |   setup.py - Script to install trojai_rl module into Python environment
        |   requirements.txt - A list of Python dependencies for pip
        │   developers - information for developers
        |   notebooks - A directory for Jupyter notebooks with example code
        │   scripts - integration scripts showcasing API functionality
        └───trojai - top level Python module
            └───datagen - submodule with implemented RL environments
            └───modelgen - model generation submodule
            └───test - top level scripts directory
                └───datagen - contains unittests for the datagen submodule
                └───modelgen - contains unittests for the modelgen submodule
        ```
        
        ## Acknowledgements
        This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA). The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein.
        
Keywords: reinforcement-learning trojan adversarial
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: stable_baselines
