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Multi-Objective Maximum a posteriori Policy Optimization (MO-MPO)

Demo

dee-sea-treasure demo

Introduction

This repository implements MO-MPO algorithm, introduced in (Abdolmaleki, Huang et al., 2020), by using PyTorch.

Getting Started

  • First, download this repo to your local machine,
    git clone https://github.com/ToooooooT/MOMPO.git
  • Next, change to the repo directory, and you need to install all the required Python packages,
    (In case you would not like to build a local virtual environment, you can just skip the second line.)
    cd MOMPO/
    python -m venv .venv
    pip install -r requirements.txt
  • To run MO-MPO in the "Deep Sea Treasure" environment,
    python run_cat_mompo.py
  • To run MO-MPO in the "Humanoid-run" environment,
    python run_cont_mompo.py

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