Joel Z. Leibo, Ph.D.

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Lee JH, Leibo JZ, An SJ, et al. (2022) Importance of prefrontal meta control in human-like reinforcement learning. Frontiers in Computational Neuroscience. 16: 1060101
Leibo JZ, Vezhnevets AS, Eckstein MK, et al. (2022) Learning agents that acquire representations of social groups. The Behavioral and Brain Sciences. 45: e111
Yaman A, Bredeche N, Çaylak O, et al. (2022) Meta-control of social learning strategies. Plos Computational Biology. 18: e1009882
Bachrach Y, Everett R, Hughes E, et al. (2020) Negotiating Team Formation Using Deep Reinforcement Learning Artificial Intelligence. 288: 103356
Lee JH, Seymour B, Leibo JZ, et al. (2019) Toward high-performance, memory-efficient, and fast reinforcement learning-Lessons from decision neuroscience. Science Robotics. 4
Jaderberg M, Czarnecki WM, Dunning I, et al. (2019) Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science (New York, N.Y.). 364: 859-865
Wang JX, Kurth-Nelson Z, Kumaran D, et al. (2018) Prefrontal cortex as a meta-reinforcement learning system. Nature Neuroscience
Botvinick M, Barrett DGT, Battaglia P, et al. (2017) Building machines that learn and think for themselves. The Behavioral and Brain Sciences. 40: e255
Leibo JZ, Liao Q, Anselmi F, et al. (2016) View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation. Current Biology : Cb
Leibo JZ, Liao Q, Anselmi F, et al. (2015) The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. Plos Computational Biology. 11: e1004390