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Title = {OpenAI Gym},
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}
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year = {2019},
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title={The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract)},
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year={2015}
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@article{machado2018revisiting,
title={Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents},
author={Machado, Marlos C and Bellemare, Marc G and Talvitie, Erik and Veness, Joel and Hausknecht, Matthew and Bowling, Michael},
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year={2015}
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title={From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI},
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year={2020},
publisher={Springer}
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title={Agent57: Outperforming the atari human benchmark},
author={Badia, Adri{\`a} Puigdom{\`e}nech and Piot, Bilal and Kapturowski, Steven and Sprechmann, Pablo and Vitvitskyi, Alex and Guo, Daniel and Blundell, Charles},
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year={2020}
}
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year={2018}
}
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title={Deepstack: Expert-level artificial intelligence in heads-up no-limit poker},
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title={Human-level performance in 3D multiplayer games with population-based reinforcement learning},
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author={Silver, David and Huang, Aja and Maddison, Chris J and Guez, Arthur and Sifre, Laurent and Van Den Driessche, George and Schrittwieser, Julian and Antonoglou, Ioannis and Panneershelvam, Veda and Lanctot, Marc and others},
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title={Mujoco: A physics engine for model-based control},
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organization={IEEE}
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@article{lanctot2019openspiel,
title={OpenSpiel: A framework for reinforcement learning in games},
author={Lanctot, Marc and Lockhart, Edward and Lespiau, Jean-Baptiste and Zambaldi, Vinicius and Upadhyay, Satyaki and P{\'e}rolat, Julien and Srinivasan, Sriram and Timbers, Finbarr and Tuyls, Karl and Omidshafiei, Shayegan and others},
journal={arXiv preprint arXiv:1908.09453},
year={2019}
}
@misc{mitchell2005computation,
title={Computation in Cellular Automata: A Selected Review},
author={Mitchell, Melanie and others},
year={2005}
}