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Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman. “Building Machines That Learn and Think Like People.” ArXiv:1604.00289 [Cs, Stat], November 2, 2016. http://arxiv.org/abs/1604.00289.\n\n**Neuroscience**\n\nRichards, Blake A. “Moving beyond Reward Prediction Errors.” Nature Machine Intelligence 1, no. 5 (May 2019): 204–5. https://doi.org/10.1038/s42256-019-0053-0.\n\n**Representation Learning**\n\nLe-Khac, Phuc H., Graham Healy, and Alan F. Smeaton. “Contrastive Representation Learning: A Framework and Review.” IEEE Access 8 (2020): 193907–34. https://doi.org/10.1109/ACCESS.2020.3031549.\n\n**Multi-Agent RL**\n\nXie, Annie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, and Dorsa Sadigh. “Learning Latent Representations to Influence Multi-Agent Interaction.” ArXiv:2011.06619 [Cs], November 12, 2020. http://arxiv.org/abs/2011.06619.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajaysub110%2Fpaper-a-day","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fajaysub110%2Fpaper-a-day","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajaysub110%2Fpaper-a-day/lists"}