Showing 1–20 of 36 results
/ Date/ Name
May 24, 2023Successor-Predecessor Intrinsic ExplorationApr 1, 2016Building Machines That Learn and Think Like PeopleJul 8, 2025Preemptive Solving of Future Problems: Multitask Preplay in Humans and MachinesJul 4, 2021Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous InterfaceAug 27, 2021Representation learning with reward prediction errorsSep 11, 2022The molecular memory code and synaptic plasticity: a synthesisJun 8, 2016Deep Successor Reinforcement LearningOct 25, 2011Distance Dependent Infinite Latent Feature ModelsOct 9, 2023Grokking as the Transition from Lazy to Rich Training DynamicsJul 27, 2021Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and PlanningDec 31, 2020Language-Mediated, Object-Centric Representation LearningFeb 9, 2024Predictive representations: building blocks of intelligenceAug 24, 2024Artificial intelligence for science: The easy and hard problemsFeb 26, 2025General Intelligence Requires Reward-based PretrainingFeb 19, 2026AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human GamesMar 5, 2026Why Depth Matters in Parallelizable Sequence Models: A Lie Algebraic ViewJun 14, 2011A Tutorial on Bayesian Nonparametric ModelsSep 12, 2019Analyzing machine-learned representations: A natural language case studyJan 23, 2019What does the free energy principle tell us about the brain?Feb 12, 2018Evaluating Compositionality in Sentence Embeddings