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Learning to Control Self-Assembling Morphologies

NeurIPS 2019 (Spotlight)
Winner of Virtual Creatures Competition at GECCO 2019, Prague

Deepak Pathak*, Chris Lu*, Trevor Darrell, Phillip Isola, Alexei A. Efros
University of California, Berkeley
MIT
(* equal contribution)

This is a pytorch based implementation for our paper on learning to control self-assembling agents using deep reinforcement learning. We investigate a modular co-evolution strategy: a collection of primitive agents learns to dynamically self-assemble into composite bodies while also learning to coordinate their behavior to control these bodies. We learn compositional policies to demonstrate better zero-shot generalization. If you find this work useful in your research, please cite:

@inproceedings{pathak19assemblies, Author = {Pathak, Deepak and Lu, Chris and Darrell, Trevor and Isola, Phillip and Efros, Alexei A.}, Title = {Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity}, Booktitle = {arXiv preprint arXiv:1902.05546}, Year = {2019} } 

Installation and Usage

  1. Setting up repository
git clone https://github.com/pathak22/modular-assemblies.git cd modular-assemblies/ git clone https://github.com/Unity-Technologies/ml-agents.git cd ml-agents/ git reset --hard 6c5255e cd .. bash envs/setup_env.sh python3 -m venv assemblyEnv source $PWD/assemblyEnv/bin/activate pip install --upgrade pip
  1. Installation

    • Requirements:
      • CUDNN-5.1, CUDA-8.0, Python-3.5
    • Detailed setup, skip to quick setup for exact replication:
    # Install Pytorch from http://pytorch.org/ pip install http://download.pytorch.org/whl/cu80/torch-0.3.0.post4-cp35-cp35m-linux_x86_64.whl pip install torchvision pip install --upgrade visdom # Install baselines for Atari preprocessing pip install gym==0.9.4 # baselines install latest gym first automatically, but latest gym has moved to mujoco5 so first install old gym and then install baselines git clone https://github.com/openai/baselines.git cd baselines git reset --hard b5be53d pip install -e . # Additional packages pip install numpy pip install matplotlib pip install pillow pip install opencv-python # fold cd modular-assemblies/src/ git clone https://github.com/nearai/pytorch-tools.git cd pytorch-tools/ git reset --hard 09dccb2 python setup.py install
    • Quick setup for exact replication:
    pip install -r requirements.txt
  2. Run code

cd modular-assemblies/src/ python test_env.py

Acknowledgement

Builds upon Ilya Kostrikov's Pytorch PPO implementation.

About

[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"

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