Publications

Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake (2025). Goals as Reward-Producing Programs. Nature Machine Intelligence.
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Xiang Pan, Jason Phang, Guy Davidson, Ethan Perez (2025). Generate-Feedback-Refine: How Much Does Model Quality in Each Role Matter?. Deep Learning 4 Code @ ICLR 2025.
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Guy Davidson, Todd M. Gureckis (2024). Toward Complex and Structured Goals in Reinforcement Learning. Finding the Frame @ RLC 2024.
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Guy Davidson, A. Emin Orhan, Brenden M. Lake (2024). Spatial relation categorization in infants and deep neural networks. Cognition.
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Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad (2024). Toward Human-AI Alignment in Large-Scale Multi-Player Games. Wordplay @ ACL 2024, Association for Computational Linguistics.
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Guy Davidson, Graham Todd, Todd M. Gureckis, Julian Togelius, Brenden M. Lake (2023). Generating Human-Like Goals by Synthesizing Reward-Producing Programs. Intrinsically Motivated Open-Ended Learning @ NeurIPS 2023.
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Guy Davidson, Todd M. Gureckis, Brenden M. Lake (2022). Creativity, Compositionality, and Common Sense in Human Goal Generation. Proceedings of the 44th Annual Meeting of the Cognitive Science Society, CogSci 2022.
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Daniel Bennett, Guy Davidson, Yael Niv (2022). A model of mood as integrated advantage. Psychological Review.
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Guy Davidson, Brenden M. Lake (2021). Examining Infant Relation Categorization Through Deep Neural Networks. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, CogSci 2021.
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Guy Davidson, Brenden M. Lake (2020). Systematically Comparing Neural Network Architectures in Relation Learning. Object-Oriented Learning (OOL): Perception, Representation, and Reasoning @ ICML 2020.
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