Showing 1–20 of 75 results
/ Date/ Name
Sep 24, 2021Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic StabilityAug 6, 2020Offline Meta Learning of ExplorationJul 24, 2018Learning Plannable Representations with Causal InfoGANFeb 13, 2015Policy Gradient for Coherent Risk MeasuresJun 26, 2013Scaling Up Robust MDPs by Reinforcement LearningFeb 9, 2016Value Iteration NetworksSep 28, 2016Learning from the Hindsight Plan -- Episodic MPC ImprovementNov 1, 2021Validate on Sim, Detect on Real -- Model Selection for Domain RandomizationDec 24, 2020Soft-IntroVAE: Analyzing and Improving the Introspective Variational AutoencoderOct 7, 2020Online Safety Assurance for Deep Reinforcement LearningNov 12, 2019Deep Variational Semi-Supervised Novelty DetectionJan 3, 2023Towards Deployable RL -- What's Broken with RL Research and a Potential FixJan 1, 2013Policy Evaluation with Variance Related Risk Criteria in Markov Decision ProcessesApr 15, 2014Optimizing the CVaR via SamplingMar 20, 2021Unsupervised Feature Learning for Manipulation with Contrastive Domain RandomizationJan 15, 2020Deep Residual Flow for Out of Distribution DetectionOct 14, 2013Variance Adjusted Actor Critic AlgorithmsJun 21, 2022Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation ApproachDec 21, 2014Implicit Temporal DifferencesFeb 28, 2019A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems