Showing 1–18 of 18 results
/ Date/ Name
Nov 4, 2022Deconfounding Imitation Learning with Variational InferenceSep 22, 2022An Investigation of the Bias-Variance Tradeoff in Meta-GradientsNov 25, 2019Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning ProblemDec 18, 2018Toward Multimodal Model-Agnostic Meta-LearningOct 30, 2019Multimodal Model-Agnostic Meta-Learning via Task-Aware ModulationJun 11, 2018Meta Continual LearningJun 29, 2024A Bayesian Solution To The Imitation GapAug 20, 2025Action-Constrained Imitation LearningDec 1, 2021On the Practical Consistency of Meta-Reinforcement Learning AlgorithmsOct 4, 2023Discovering General Reinforcement Learning Algorithms with Adversarial Environment DesignMar 5, 2024SplAgger: Split Aggregation for Meta-Reinforcement LearningJan 19, 2023A Tutorial on Meta-Reinforcement LearningFeb 9, 2024Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology ControlNov 7, 2024IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingFeb 9, 2021Learning State Representations from Random Deep Action-conditional PredictionsFeb 9, 2021Adaptive Pairwise Weights for Temporal Credit AssignmentSep 26, 2023Recurrent Hypernetworks are Surprisingly Strong in Meta-RLOct 20, 2022Hypernetworks in Meta-Reinforcement Learning