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Regularized Opponent Model with Maximum Entropy Objective

This repo aims to provide an algorithm implementation for IJCAI 2019 paper Regularized Opponent Model with Maximum Entropy Objective (ROMMEO) and its baselines.

There are some additional materials avaiable here:

Installation

  1. Clone rllrb
cd <installation_path_of_your_choice>
git clone https://github.com/rll/rllab.git
cd rllab
git checkout b3a28992eca103cab3cb58363dd7a4bb07f250a0
sudo pip3 install -e .
  1. Intsall other dependencies
sudo pip3 install joblib,path.py,gtimer,theano,keras,tensorflow,gym, tensorflow_probability
  1. Intsall maci
cd maci
sudo pip3 install -e .

Runing Experiments

cd experiment
python3 run_rommeo.py
python3 run_baseline.py

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IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)

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