Showing 1–20 of 35 results
/ Date/ Name
May 14, 2021People construct simplified mental representations to planJul 15, 2024Three Dogmas of Reinforcement LearningJan 15, 2017Near Optimal Behavior via Approximate State AbstractionJul 20, 2023On the Convergence of Bounded AgentsOct 16, 2018Finding Options that Minimize Planning TimeJun 26, 2020What can I do here? A Theory of Affordances in Reinforcement LearningJan 15, 2020Lipschitz Lifelong Reinforcement LearningMar 1, 2022A Theory of Abstraction in Reinforcement LearningJan 15, 2017Agent-Agnostic Human-in-the-Loop Reinforcement LearningFeb 6, 2025Agency Is Frame-DependentOct 7, 2021Bad-Policy Density: A Measure of Reinforcement Learning HardnessJul 20, 2023A Definition of Continual Reinforcement LearningDec 20, 2022Settling the Reward HypothesisNov 1, 2021On the Expressivity of Markov RewardMay 15, 2025Plasticity as the Mirror of EmpowermentDec 3, 2018Mitigating Planner Overfitting in Model-Based Reinforcement LearningJun 2, 2017Modeling Latent Attention Within Neural NetworksJun 2, 2025General agents contain world modelsJul 25, 2024A Black Swan Hypothesis: The Role of Human Irrationality in AI SafetyMar 14, 2016Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains