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Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.

, , , and . NIPS, page 2746-2754. (2015)

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Deep Surrogate Q-Learning for Autonomous Driving., , , and . ICRA, page 1578-1584. IEEE, (2022)Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning., , , , and . CoRR, (2019)Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning., , , , and . CoRR, (2023)Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation., , , , and . CoRR, (2021)Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning., , , and . CoRR, (2023)The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation., , , , , and . CoRR, (2023)L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization., , , , , , and . CoRR, (2023)Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression., , , , and . Robotics: Science and Systems, (2012)Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection., , , , , , , and . EMBC, page 2268-2271. IEEE, (2018)Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills., , , , , , , , , and 1 other author(s). ECMR, page 1-6. IEEE, (2017)