This repository offers base classes for annotation classes in parl codes.
we use parl_agent, parl_benchmark, parl_annotations together.
- parl_agents: Hierarchical RL agent codes
- parl_minigrid: Add-on to the minigrid environemtns
- adding different kinds of annotation to RL task, we extend
parl_annotations - adding new annotated RL environments, we addd new
parl_benchmarksuch asparl_minigrid
- first create a conda environment for installing parl_annotations, parl_agents, parl_minigrid.
$ conda create -n parl python=3.7
- clone this repository install the current repository.
- two external libraries, pyperplan and downward_translate are stored under libs
- there was a minor modification made on two packages
$ pip install -r requirements.txt
$ pip install -e .
- 2021 ICAPS PRL Workshop paper
@inproceedings{lee2021ai,
title={AI Planning Annotation in Reinforcement Learning: Options and Beyond},
author={Lee, Junkyu and Katz, Michael and Agravante, Don Joven and Liu, Miao and Klinger, Tim and Campbell, Murray and Sohrabi, Shirin and Tesauro, Gerald},
booktitle={Planning and Reinforcement Learning PRL Workshop at ICAPS},
year={2021}
}
- 2023 NEURIPS GenPlan Workshop paper
@inproceedings{lee2021ai,
title={Hierarchical Reinforcement Learning with AI Planning Models},
author={Lee, Junkyu and Katz, Michael and Agravante, Don Joven and Liu, Miao and Tasse, Geraud Nangue and Klinger, Tim and Sohrabi, Shirin},
booktitle={Generalization in Planning GenPlan Workshop at NEURIPS},
year={2023}
}