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@Misc{RoboSkate,
  author    = {Matas Sakalauskas},
  month     = oct,
  title     = {{RoboSkate}},
  year      = {2020},
  owner     = {STEAM},
  timestamp = {2021-08-30},
  url       = {https://store.steampowered.com/app/1404530/RoboSkate/},
}

@Misc{unityRL,
  author    = {Juliani, Arthur and Berges, Vincent-Pierre and Teng, Ervin and Cohen, Andrew and Harper, Jonathan and Elion, Chris and Goy, Chris and Gao, Yuan and Henry, Hunter and Mattar, Marwan and Lange, D.},
  title     = {{Unity: A General Platform for Intelligent Agents}},
  year      = {2020},
  journal   = {arXiv preprint arXiv:1809.02627},
  timestamp = {2021-08-30},
  url       = {https://github.com/Unity-Technologies/ml-agents},
}

@Manual{unityHeadless,
  title     = {{Unity Manual}},
  month     = aug,
  year      = {2021},
  owner     = {Unity},
  timestamp = {2021-08-30},
  url       = {https://docs.unity3d.com/Manual/CommandLineArguments.html},
}

@Article{unitywithoutMonitor,
  author    = {Renaldas Zioma},
  journal   = {Towards Data Science},
  title     = {{How to run Unity on Amazon Cloud or without Monitor}},
  year      = {2017},
  month     = aug,
  owner     = {Renaldas Zioma},
  timestamp = {2021-08-30},
  url       = {https://towardsdatascience.com/how-to-run-unity-on-amazon-cloud-or-without-monitor-3c10ce022639},
}

@Misc{nvidiagpucontainersruntime,
  title     = {NVIDIA container runtime},
  timestamp = {2021-08-30},
  url       = {https://github.com/NVIDIA/nvidia-container-runtime},
}

@Manual{ServerGUI,
  title  = {{ServerGUI}},
  author = {Neal McBurnett},
  month  = sep,
  year   = {2012},
  url    = {https://help.ubuntu.com/community/ServerGUI},
}

@Misc{nvidiavulkan,
  title     = {nvidia/vulkan},
  owner     = {NVIDEA},
  timestamp = {2021-08-30},
  url       = {https://hub.docker.com/r/nvidia/vulkan},
}

@Misc{SB3,
  author    = {Raffin, Antonin and Hill, Ashley and Enerstus, Maximilian and Gleave, Adam and Kanervisto, Anssi and Dormann, Noah},
  month     = {5},
  title     = {{Stable Baselines3}},
  year      = {2020},
  timestamp = {2021-08-30},
  url       = {https://github.com/DLR-RM/stable-baselines3},
}

@Misc{imitation,
  author       = {Wang, Steven and Toyer, Sam and Gleave, Adam and Emmons, Scott},
  howpublished = {\url{https://github.com/HumanCompatibleAI/imitation}},
  title        = {The {\tt imitation} Library for Imitation Learning and Inverse Reinforcement Learning},
  year         = {2020},
  journal      = {GitHub repository},
  publisher    = {GitHub},
}

@Article{badrinarayanan2016segnet,
  author    = {Badrinarayanan, Vijay and Kendall, Alex and Cipolla, Roberto},
  journal   = {IEEE transactions on pattern analysis and machine intelligence},
  title     = {Segnet: A deep convolutional encoder-decoder architecture for image segmentation},
  year      = {2017},
  number    = {12},
  pages     = {2481--2495},
  volume    = {39},
  publisher = {IEEE},
}

@Misc{Playthrough,
  author    = {Matas Sakalauskas},
  month     = oct,
  title     = {{RoboSkate Developer Playthrough}},
  year      = {2020},
  timestamp = {2021-08-30},
  url       = {https://www.youtube.com/watch?v=_BWT11ttgJ4&t=117s&ab_channel=MatasSakalauskas},
}

@InBook{Watershed,
  author    = {Preim, Bernhard and Botha, Charl P.},
  chapter   = {4.3.5 Watershed Segmentation},
  pages     = {129--131},
  publisher = {Newnes},
  title     = {Visual computing for medicine: theory, algorithms, and applications},
  year      = {2013},
  url       = {https://www.sciencedirect.com/topics/computer-science/watershed-segmentation},
}

@Article{Watershed2,
  author    = {Strahinja Zivkovic},
  journal   = {Data Hacker},
  title     = {{OpenCV projects – Image segmentation with Watershed algorithm}},
  year      = {2020},
  month     = dec,
  timestamp = {2021-08-30},
  url       = {http://datahacker.rs/007-opencv-projects-image-segmentation-with-watershed-algorithm/},
}

@Article{ImageProcessing,
  author    = {Prince Canuma},
  journal   = {Medium},
  title     = {{Image Pre-processing}},
  year      = {2018},
  month     = oct,
  timestamp = {2021-08-30},
  url       = {https://prince-canuma.medium.com/image-pre-processing-c1aec0be3edf},
}

@Manual{Canny,
  title     = {Canny edge detector},
  timestamp = {2021-08-30},
  url       = {https://scikit-image.org/docs/dev/auto_examples/edges/plot_canny.html},
}

@Article{Curse_of_Dimensionality,
  author    = {Bellman, Richard},
  journal   = {Science},
  title     = {Dynamic programming},
  year      = {1966},
  number    = {3731},
  pages     = {34--37},
  volume    = {153},
  publisher = {American Association for the Advancement of Science},
}

@Book{sutton2018reinforcement,
  author    = {Sutton, Richard S. and Barto, Andrew G.},
  publisher = {MIT press},
  title     = {Reinforcement learning: An introduction},
  year      = {2018},
}

@Article{schulman2017proximal,
  author  = {Schulman, John and Wolski, Filip and Dhariwal, Prafulla and Radford, Alec and Klimov, Oleg},
  journal = {arXiv preprint arXiv:1707.06347},
  title   = {Proximal policy optimization algorithms},
  year    = {2017},
}

@Manual{NRP,
  title = {{Neurorobotics Platform}},
  url   = {https://neurorobotics.net/Documentation/nrp/index.html},
}

@Article{wang2019boosting,
  author  = {Wang, Che and Ross, Keith},
  journal = {arXiv preprint arXiv:1906.04009},
  title   = {Boosting soft actor-critic: Emphasizing recent experience without forgetting the past},
  year    = {2019},
}

@InProceedings{zhou2019continuity,
  author    = {Zhou, Yi and Barnes, Connelly and Lu, Jingwan and Yang, Jimei and Li, Hao},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  title     = {On the continuity of rotation representations in neural networks},
  year      = {2019},
  pages     = {5745--5753},
}

@Article{Saha2018,
  author    = {Sumit Saha},
  journal   = {Towards Data Science},
  title     = {{A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way}},
  year      = {2018},
  month     = dec,
  timestamp = {2021-08-30},
  url       = {https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53},
}

@Article{Daaboul2020,
  author  = {Karam Daaboul},
  journal = {Medium},
  title   = {{Reinforcement Learning: Dealing with Sparse Reward Environments}},
  year    = {2020},
  month   = aug,
  url     = {https://medium.com/@m.k.daaboul/dealing-with-sparse-reward-environments-38c0489c844d},
}

@Article{Bonsai2017,
  author  = {Bonsai},
  journal = {Medium},
  title   = {{Deep Reinforcement Learning Models: Tips & Tricks for Writing Reward Functions}},
  year    = {2017},
  month   = nov,
  url     = {https://medium.com/@BonsaiAI/deep-reinforcement-learning-models-tips-tricks-for-writing-reward-functions-a84fe525e8e0},
}

@Article{gudimella2017deep,
  author  = {Gudimella, Aditya and Story, Ross and Shaker, Matineh and Kong, Ruofan and Brown, Matthew and Shnayder, Victor and Campos, Marcos},
  journal = {arXiv preprint arXiv:1709.06977},
  title   = {Deep reinforcement learning for dexterous manipulation with concept networks},
  year    = {2017},
}

@Article{Raffin2019,
  author  = {Antonin Raffin},
  journal = {Towards Data Science},
  title   = {{Learning to Drive Smoothly in Minutes}},
  year    = {2019},
  month   = jan,
}

@InProceedings{mnih2016asynchronous,
  author       = {Mnih, Volodymyr and Badia, Adria Puigdomenech and Mirza, Mehdi and Graves, Alex and Lillicrap, Timothy and Harley, Tim and Silver, David and Kavukcuoglu, Koray},
  booktitle    = {International conference on machine learning},
  title        = {Asynchronous methods for deep reinforcement learning},
  year         = {2016},
  organization = {PMLR},
  pages        = {1928--1937},
}

@Article{haarnoja2018soft,
  author  = {Haarnoja, Tuomas and Zhou, Aurick and Hartikainen, Kristian and Tucker, George and Ha, Sehoon and Tan, Jie and Kumar, Vikash and Zhu, Henry and Gupta, Abhishek and Abbeel, Pieter and others},
  journal = {arXiv preprint arXiv:1812.05905},
  title   = {Soft actor-critic algorithms and applications},
  year    = {2018},
}

@Article{mnih2013playing,
  author  = {Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Graves, Alex and Antonoglou, Ioannis and Wierstra, Daan and Riedmiller, Martin},
  journal = {arXiv preprint arXiv:1312.5602},
  title   = {Playing atari with deep reinforcement learning},
  year    = {2013},
}

@Article{fu2017learning,
  author  = {Fu, Justin and Luo, Katie and Levine, Sergey},
  journal = {arXiv preprint arXiv:1710.11248},
  title   = {Learning robust rewards with adversarial inverse reinforcement learning},
  year    = {2017},
}

@Article{ho2016generative,
  author  = {Ho, Jonathan and Ermon, Stefano},
  journal = {Advances in neural information processing systems},
  title   = {Generative adversarial imitation learning},
  year    = {2016},
  pages   = {4565--4573},
  volume  = {29},
}

@Comment{jabref-meta: databaseType:bibtex;}