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Never Gonna Give You Up
Rick Astley · 1987
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Working with preferences: Less is more
Souhila Kaci · 2011
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Search-based procedural content generation: A taxonomy and survey
Julian Togelius, Georgios N Yannakakis, Kenneth O Stanley, and Cameron Browne · 2011
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Experience-driven procedural content generation
Georgios N Yannakakis and Julian Togelius · 2011
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Dueling network architectures for deep reinforcement learning
Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Hasselt, Marc Lanctot, and Nando Freitas · 2016
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Deeptingle
Ahmed Khalifa, Gabriella AB Barros, and Julian Togelius · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Edge ai: On-demand accelerating deep neural network inference via edge computing
En Li, Liekang Zeng, Zhi Zhou, and Xu Chen · 2019
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The bitter lesson
Richard Sutton · 2019
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Increasing generality in machine learning through procedural content generation
Sebastian Risi and Julian Togelius · 2020
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Green ai
Roy Schwartz, Jesse Dodge, Noah A Smith, and Oren Etzioni · 2020
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Decision transformer: Reinforcement learning via sequence modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, and Igor Mordatch · 2021
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Arch-elites: Quality-diversity for urban design
You can’t count on luck: Why decision transformers fail in stochastic environments
Keiran Paster, Sheila McIlraith, and Jimmy Ba · 2022
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Experience based game development and methods for use therewith, May 17 2022
Christoffer Holmgård Pedersen, Benedikte Mikkelsen, Julian Togelius, Georgios N Yannakakis, Sebastian Risi, and Lars Henriksen · 2022
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Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, et al · 2022
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Behavior transformers: Cloning k k modes with one stone
Nur Muhammad Shafiullah, Zichen Cui, Ariuntuya Arty Altanzaya, and Lerrel Pinto · 2022
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Theodoros Galanos, Antonios Liapis, Georgios N Yannakakis, and Reinhard Koenig · 2021
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Knowledge distillation: A survey
Jianping Gou, Baosheng Yu, Stephen J Maybank, and Dacheng Tao · 2021
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Privileged information for modeling affect in the wild
Konstantinos Makantasis, David Melhart, Antonios Liapis, and Georgios N Yannakakis · 2021
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Video pretraining (vpt): Learning to act by watching unlabeled online videos
Bowen Baker, Ilge Akkaya, Peter Zhokov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, and Jeff Clune · 2022
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Imitating human behaviour with diffusion models
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Human-timescale adaptation in an open-ended task space
Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, et al · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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