Autori: Luca Gregori & Alessandro Wood
Corso: Machine Learning

Si veda il notebook Relazione Finale

• Installazione driver Nvidia (proprietari) (prerequisiti per cuda):

sudo apt install nvidia-driver-460

• Installazione Cuda (versione 11.2):

sudo apt install nvidia-cuda-toolkit

• Installazione nvidia cuDNN dal seguente link (richiede registrazione al programma nvidia developer)
  cuDNN Runtime Library for Ubuntu20.04 x86_64 (Deb) è il pacchetto da installare

• Esportazioni variabili d’ambiente:

echo 'export LD_LIBRARY_PATH=/usr/lib/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/lib/cuda/include:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc

• Per verificare l’installazione di cuda

nvcc -V

• Installazione di Tensorflow/PyTorch tramite pip

• Installazione ViZDoom si segua la guida quick start per python: VizDoom.

Arnold : @inproceedings{chaplot2017arnold, title={Arnold: An Autonomous Agent to Play FPS Games.}, author={Chaplot, Devendra Singh and Lample, Guillaume}, booktitle={Proceedings of AAAI}, year={2017}, Note={Best Demo award} }

ViZDoom: @article{wydmuch2018vizdoom, title={ViZDoom Competitions: Playing Doom from Pixels}, author={Wydmuch, Marek and Kempka, Micha{\l} and Ja{'s}kowski, Wojciech}, journal={IEEE Transactions on Games}, year={2018}, publisher={IEEE} Rarity of Events: @article{roe, title={Automated Curriculum Learning by Rewarding Temporally Rare Events}, author={Niels Justesen, Sebastian Risi}, year={2018}

Automated Curriculum Learning by Rewarding Temporally Rare Events | Niels Justesen & Sebastian Risi | link

Human-level control through deep reinforcement learning | DeepMind | 26 february 2015 | vol 518 | Nature | link