Showing 1–20 of 23 results
/ Date/ Name
Jan 8, 2019Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense TrafficFeb 22, 2016Recurrent Orthogonal Networks and Long-Memory TasksNov 1, 2019Explicit Explore-Exploit Algorithms in Continuous State SpacesJun 16, 2015Deep Convolutional Networks on Graph-Structured DataNov 14, 2017Prediction Under Uncertainty with Error-Encoding NetworksAug 30, 2025Scalable Option Learning in High-Throughput EnvironmentsJun 5, 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPsMay 19, 2017Model-Based Planning with Discrete and Continuous ActionsApr 27, 2026Hierarchical Behaviour SpacesOct 11, 2022Exploration via Elliptical Episodic BonusesDec 20, 2013Fast Training of Convolutional Networks through FFTsDec 12, 2016Tracking the World State with Recurrent Entity NetworksOct 12, 2022Semi-Supervised Offline Reinforcement Learning with Action-Free TrajectoriesNov 13, 2019Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement LearningJan 29, 2026The Surprising Difficulty of Search in Model-Based Reinforcement LearningApr 19, 2025Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3DJul 16, 2020PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient LearningDec 6, 2023Generalization to New Sequential Decision Making Tasks with In-Context LearningNov 30, 2014The Loss Surfaces of Multilayer NetworksDec 11, 2024MaestroMotif: Skill Design from Artificial Intelligence Feedback