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Code for the ICML paper: Predictor-Corrector Policy Optimization
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README.md

rlfamily

Code for reproducing the results in the paper: Predictor-Corrector Policy Optimization. Ching-An Cheng, Xinyan Yan, Nathan Ratliff, Byron Boots. ICML 2019.

Installation

Tested in Ubuntu 16.04 and Ubuntu 18.04 with python 3.5, 3.6.

Install rlfamily and most of the requirements

Prepare python3 virtual environment:

sudo apt-get install python3-pip
sudo pip3 install virtualenv
virtualenv --system-site-packages -p python3 ./venv
source ./venv/bin/activate
pip install --upgrade -r requirements.txt

Install this repo and requirements:

git clone https://github.com/gtrll/rlfamily.git
pip install --upgrade -r requirements.txt

You may need to run

export PYTHONPATH="{PYTHONPATH}:[the parent folder of rlfamily repo]"

Install PyDart2

Installing PyDart2 through pip does not work. So we install it manually.

Install requirements:

sudo apt-add-repository ppa:dartsim
sudo apt-get update
sudo apt-get install libdart6-all-dev
sudo apt-get install swig python3-pip python3-pyqt4 python3-pyqt4.qtopengl

Some of the requirement installation may incur errors in Ubuntu 18.04. These can likely be ignored. Download, compile, and install

git clone https://github.com/sehoonha/pydart2.git
cd pydart2
python setup.py build build_ext
python setup.py develop

Install DartEnv

This is a slightly modified version of DartEnv. The changes include:

  • Make nodisplay as default.
  • Add a state property for convenience.

To install it,

git clone https://github.com/gtrll/dartenv.git
cd dartenv
git checkout nodisplay
pip install -e .[dart]

Troubleshooting

If you encounter the error:

ModuleNotFoundError: No module named 'pydart2._pydart2_api'

ImportError: libdart.so.6.5: cannot open shared object file: No such file or directory

try installing PyDart2 again.

Reproduce the results in the paper

Run experiments

Firstly, go to the main folder.

cd rlfamily

Run experiments for env [env], using first-order oracle [oracle], using base algorithm [alg]:

python scripts/batch_run.py [env] configs_[env] -r [oracle] -a [alg]
  • [env] can be cp, hopper, snake, and walker3d.
  • [oracle] can be mf (Base Algorithm), lazy1 (last), agg1 (reply), sim1 (TrueDyn), sim1_models (BiasedDyn), dyna_adv (Dyna-Adversarial), adv (PicCoLO-Adversarial), sim1_opt (BiasedDyn0.2-FP), where the names in the parentheses correspond to the ones in the paper.
  • [alg] can be adam, natgrad, trpo.

Note that [oracle] and [alg] can be lists. For example:

python scripts/batch_run.py hopper configs_hopper -r mf lazy1 agg1 sim1 sim1_models -a adam trpo natgrad

Plot results

Change the name of the folders based on icml_piccolo_final_configs in scripts/plot_configs.py. And plot the results using scripts/plot_icml_piccolo_final.sh.

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