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The emergence of Large Language Models has fundamentally transformed the capabilities of AI agents, enabling a new class of autonomous agents capable of interacting with their environment through dynamic code generation and execution.
From video game to real robot: The transfer between action spaces
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F. A. Hayek · 1945
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The sybil attack
John R Douceur · 2002
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Alan Dix · 2004
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Action space shaping in deep reinforcement learning
Anssi Kanervisto, Christian Scheller, and Ville Hautamäki · 2004
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Language models are few-shot learners
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The laws of identity
Kim Cameron · 2005
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"playing to learn: A study of minecraft"
Anssi Kanervisto, Janne Karttunen, and Ville Hautamäki · 2005
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Algorithmic game theory
Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay V Vazirani, editors · 2007
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The future of payment systems
Andrew G Haldane, Stephen Millard, and Victoria Saporta · 2008
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The Nature of Technology: What It Is and How It Evolves
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J. Bergstra, D. Yamins, and D. D. Cox · 2012
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Multimodal lecture presentations dataset: Understanding multimodality in educational slides
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Automating code review activities by large-scale pre-training, 2022
Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, and Neel Sundaresan · 2022
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Handbook of collective intelligence
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M. Botvinick, D. G. T. Barrett, P. Battaglia, N. de Freitas, D. Kumaran, J. Z Leibo, T. Lillicrap, J. Modayil, S. Mohamed, N. C. Rabinowitz, D. J. Rezende, A. Santoro, T. Schaul, C. Summerfield, G. Wayne, T. Weber, D. Wierstra, S. Legg, and D. Hassabis · 2017
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