Search Results - Osentoski, Sarah

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  1. 1
    Learning grounded finite-state representations from unstructured demonstrations

    Learning grounded finite-state representations from unstructured demonstrations by Niekum, Scott, Osentoski, Sarah, Konidaris, George, Chitta, Sachin, Marthi, Bhaskara, Barto, Andrew G.

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  2. 2
    Learning and generalization of complex tasks from unstructured demonstrations

    Learning and generalization of complex tasks from unstructured demonstrations by Niekum, S., Osentoski, S., Konidaris, G., Barto, A. G.

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  3. 3
    Context aware shared autonomy for robotic manipulation tasks

    Context aware shared autonomy for robotic manipulation tasks by Witzig, Thomas, Zollner, J. Marius, Pangercic, Dejan, Osentoski, Sarah, Jakel, Rainer, Dillmann, Rudiger

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  4. 4
    Recasting Robotics Challenges as Experiments

    Recasting Robotics Challenges as Experiments by ANDERSON, Monica, CHADWICKE JENKINS, Odest, OSENTOSKI, Sarah

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  5. 5
    Remote Robotic Laboratories for Learning from Demonstration: Enabling user interaction and shared experimentation

    Remote Robotic Laboratories for Learning from Demonstration: Enabling user interaction and shared experimentation by Osentoski, Sarah, Pitzer, Benjamin, Crick, Christopher, Jay, Graylin, Dong, Shuonan, Grollman, Daniel, Suay, Halit Bener, Jenkins, Odest Chadwicke

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  6. 6
    Active articulation model estimation through interactive perception

    Active articulation model estimation through interactive perception by Hausman, Karol, Niekum, Scott, Osentoski, Sarah, Sukhatme, Gaurav S.

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  7. 7
    Failure recovery with shared autonomy

    Failure recovery with shared autonomy by Sankaran, B., Pitzer, B., Osentoski, S.

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  8. 8
    Online Bayesian changepoint detection for articulated motion models

    Online Bayesian changepoint detection for articulated motion models by Niekum, Scott, Osentoski, Sarah, Atkeson, Christopher G., Barto, Andrew G.

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  9. 9
    Remote Robotic Laboratories for Learning from Demonstration

    Remote Robotic Laboratories for Learning from Demonstration by Osentoski Sarah, Pitzer, Benjamin, Crick, Christopher, Graylin, Jay, Dong Shuonan, Grollman, Daniel, Suay Halit Bener, Jenkins, Odest Chadwicke

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  10. 10
    Value Function Approximation in Reinforcement Learning Using the Fourier Basis

    Value Function Approximation in Reinforcement Learning Using the Fourier Basis by Konidaris, George, Osentoski, Sarah, Thomas, Philip

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  11. 11
    Human and robot perception in large-scale learning from demonstration

    Human and robot perception in large-scale learning from demonstration by Crick, C., Osentoski, S., Jay, G., Jenkins, O. C.

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  12. 12
    ROS and Rosbridge: roboticists out of the loop

    ROS and Rosbridge: roboticists out of the loop by Crick, Christopher, Jay, Graylin, Osentoski, Sarah, Jenkins, Odest Chadwicke

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  13. 13
    Learning from demonstration using a multi-valued function regressor for time-series data

    Learning from demonstration using a multi-valued function regressor for time-series data by Butterfield, J, Osentoski, S, Jay, G, Jenkins, O C

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  14. 14
    PR2 Remote Lab: An environment for remote development and experimentation

    PR2 Remote Lab: An environment for remote development and experimentation by Pitzer, B., Osentoski, S., Jay, G., Crick, C., Jenkins, O. C.

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  15. 15
    Robots as web services: Reproducible experimentation and application development using rosjs

    Robots as web services: Reproducible experimentation and application development using rosjs by Osentoski, Sarah, Jay, Graylin, Crick, Christopher, Pitzer, Benjamin, DuHadway, Charles, Jenkins, Odest Chadwicke

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  16. 16
    CHAMP: Changepoint Detection Using Approximate Model Parameters

    CHAMP: Changepoint Detection Using Approximate Model Parameters by Niekum, Scott, Osentoski, Sarah, Atkeson, Christopher G, Barto, Andrew G

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  17. 17
    Learning hierarchical models of activity

    Learning hierarchical models of activity by Osentoski, S., Manfredi, V., Mahadevan, S.

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  18. 18
    Learning Hierarchical Models of Activity

    Learning Hierarchical Models of Activity by Osentoski, Sarah, Manfred, Victoria, Mahadevan, Sridhar

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  19. 19
    Urinary Cytokines as Potential Biomarkers of Mild Cognitive Impairment and Alzheimer's Disease: A Pilot Study

    Urinary Cytokines as Potential Biomarkers of Mild Cognitive Impairment and Alzheimer's Disease: A Pilot Study by Saiyed, Nazia, Yilmaz, Ali, Vishweswariah, Sangeetha, Maiti, Amit K, Ustun, Ilyas, Bartolone, Sarah, Brown-Hughes, Travonia, Thorpe, Roland J, Osentoski, Tammy, Ruff, Stacey, Pai, Amita, Maddens, Michael, Imam, Khaled, Graham, Stewart F

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