Scitator / neurips-18-prosthetics-challenge

NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution

Home Page:https://www.youtube.com/watch?v=uGL6jcSmGoA&feature=youtu.be

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution

alt text

Attention

git clone --recursive git@github.com:scitator/neurips-18-prosthetics-challenge.git

How2run

  1. System requirements – redis and Anaconda

    sudo apt install redis-server

  2. Python requirements

    conda create -n opensim-rl -c kidzik opensim python=3.6.1
    activate opensim-rl
    source activate opensim-rl
    conda install -c conda-forge lapack git
    conda install pytorch torchvision -c pytorch
    pip install git+https://github.com/stanfordnmbl/osim-rl.git
    pip install git+https://github.com/pytorch/tnt.git@master
    pip install pyaml tensorboardX jpeg4py albumentations    
  3. Mujoco example

    For installation issues follow official guide.

    redis-server --port 12000
    export GPUS=""
    CUDA_VISIBLE_DEVICES="$GPUS" PYTHONPATH=. \
        python rl/offpolicy/scripts/run_trainer.py \
        --config=experiments/mujoco/ecritic_quantile.yml
    
    CUDA_VISIBLE_DEVICES="" PYTHONPATH=. \
        python rl/offpolicy/scripts/run_samplers.py \
        --config=experiments/mujoco/ecritic_quantile.yml
    
    CUDA_VISIBLE_DEVICE="" tensorboard \
       --logdir=./experiments/logs
  4. L2R example – ensemble training

    1. Redis

      redis-server --port 13131
    2. FC

      export GPUS=""
      CUDA_VISIBLE_DEVICES="$GPUS" PYTHONPATH=. \
          python catalyst/rl/offpolicy/scripts/run_trainer.py \
          --config=experiments/prosthetics/ecritic_quantile_fc.yml
      
      CUDA_VISIBLE_DEVICES="" PYTHONPATH=. \
          python catalyst/rl/offpolicy/scripts/run_samplers.py \
          --config=experiments/prosthetics/ecritic_quantile_fc.yml
    3. LAMA

      export GPUS=""
      CUDA_VISIBLE_DEVICES="$GPUS" PYTHONPATH=. \
          python catalyst/rl/offpolicy/scripts/run_trainer.py \
          --config=experiments/prosthetics/ecritic_quantile_lama.yml
      
      CUDA_VISIBLE_DEVICES="" PYTHONPATH=. \
          python catalyst/rl/offpolicy/scripts/run_samplers.py \
          --config=experiments/prosthetics/ecritic_quantile_lama.yml
    4. Monitoring

      CUDA_VISIBLE_DEVICE="" tensorboard \
         --logdir=./experiments/logs
  5. L2R submit test

    bash ./submit/run.sh

Additional links

Medium post

Video

Citation

Please cite the following paper if you feel this repository useful.

@article{catalyst_rl,
  title={Catalyst.RL: A Distributed Framework for Reproducible RL Research},
  author = {Kolesnikov, Sergey and Hrinchuk, Oleksii},
  journal={arXiv preprint arXiv:1903.00027},
  year={2019}
}

About

NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution

https://www.youtube.com/watch?v=uGL6jcSmGoA&feature=youtu.be

License:MIT License


Languages

Language:Python 99.2%Language:Shell 0.8%