Showing 1–20 of 47 results
/ Date/ Name
Jun 25, 2020Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neuronsSep 28, 2018Relational Forward Models for Multi-Agent LearningApr 12, 2023Meta-Learned Models of CognitionFeb 21, 2022HCMD-zero: Learning Value Aligned Mechanisms from DataJan 27, 2022Human-centered mechanism design with Democratic AIJan 29, 2020MEMO: A Deep Network for Flexible Combination of Episodic MemoriesMay 8, 2019Meta-learning of Sequential StrategiesJan 9, 2026Can AI mediation improve democratic deliberation?Nov 22, 2017Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017Oct 18, 2020Model-free conventions in multi-agent reinforcement learning with heterogeneous preferencesApr 24, 2020The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetFeb 4, 2021Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agentsJun 7, 2021SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video DecompositionFeb 15, 2022General-purpose, long-context autoregressive modeling with Perceiver ARNov 4, 2018Bayesian Action Decoder for Deep Multi-Agent Reinforcement LearningMay 24, 2018Been There, Done That: Meta-Learning with Episodic RecallJul 22, 2025Depression as a disorder of distributional codingMar 1, 2019Multi-Object Representation Learning with Iterative Variational InferenceApr 18, 2019Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain BretteJan 30, 2019InfoBot: Transfer and Exploration via the Information Bottleneck