Yevgen Chebotar

发表

Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, 2019, 2020 25th International Conference on Pattern Recognition (ICPR).

Path integral guided policy search

Sergey Levine, Stefan Schaal, Yevgen Chebotar, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Slip Detection and Classification for Grip Control using Multiple Sensory Modalities on a Biomimetic Tactile Sensor

Yevgen Chebotar, Artem Molchanov, Karol Hausman, 2015 .

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

Yevgen Chebotar, Dieter Fox, Miles Macklin, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Time-Contrastive Networks: Self-Supervised Learning from Video

Sergey Levine, Stefan Schaal, Yevgen Chebotar, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Generalizing Regrasping with Supervised Policy Learning

Gaurav S. Sukhatme, Oliver Kroemer, Stefan Schaal, 2016, ISER.

Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed pdf

Gaurav S. Sukhatme, Yevgen Chebotar, Stefan Schaal, 2020, ArXiv.

Force Estimation and Slip Detection for Grip Control using a Biomimetic Tactile Sensor

Gaurav S. Sukhatme, Yevgen Chebotar, Artem Molchanov, 2015 .

BiGS: BioTac Grasp Stability Dataset

Gaurav S. Sukhatme, Oliver Kroemer, Stefan Schaal, 2016 .

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Slip Classification Using Tangential and Torsional Skin Distortions on a Biomimetic Tactile Sensor

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2015 .

IntentionGAN: MultiModal Imitation Learningfrom Unstructured Demonstrations

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2017 .

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning

Gaurav S. Sukhatme, Sergey Levine, Stefan Schaal, 2017, ICML.

Learning robot tactile sensing for object manipulation

Oliver Kroemer, Yevgen Chebotar, Jan Peters, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages

Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar, 2012, EACL.

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Regrasping Using Tactile Perception and Supervised Policy Learning

Gaurav S. Sukhatme, Oliver Kroemer, Stefan Schaal, 2017, AAAI Spring Symposia.

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2017, NIPS.

IntentionGAN: MultiTask Imitation Learningfrom Unstructured Demonstrations

Yevgen Chebotar, Karol Hausman, Joseph J. Lim, 2017 .

Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition

Yevgen Chebotar, Austin Waters, Yevgen Chebotar, 2016, INTERSPEECH.

Combining Model-Based and Model-Free Updates for Deep Reinforcement Learning

Gaurav S. Sukhatme, Sergey Levine, Stefan Schaal, 2017 .

Collective robot reinforcement learning with distributed asynchronous guided policy search

Sergey Levine, Yevgen Chebotar, Mrinal Kalakrishnan, 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Latent Space Dynamics for Tactile Servoing

Yevgen Chebotar, Dieter Fox, Zhe Su, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, ICML.

Visionary: Vision architecture discovery for robot learning

Yevgen Chebotar, Michael S. Ryoo, Anelia Angelova, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, NeurIPS.

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, CoRL.

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, ArXiv.