Pre-prints
  • Exploration in Action Space

    Anirudh Vemula, Wen Sun, Drew Bagnell.

    RSS Workshop on Learning and Inference in Robotics, 2018 [pdf]

  • Contextual Memory Tree

    Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro.

    [arxiv]

  Publications
  • Dual Policy Iteration

    Wen Sun, Geoff Gordon, Byron Boots, Drew Bagnell.

    NIPS 2018 [arxiv]

  • Recurrent Predictive State Policy Networks

    Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha Srinivasa, Geoffrey Gordon.

    ICML 2018 [arxiv]

  • Truncated Horizon Policy Search: Combining Reinforcement Learning and Imitation Learning

    Wen Sun, J. Andrew Bagnell, Byron Boots.

    ICLR 2018 [pdf]

  • Sketching for Kronecker Product Regression and P-splines

    (by alphabetic order) Huaian Diao, Zhao Song, Wen Sun, David P. Woodruff

    AISTATS 2018 [oral][arxiv]

  • Predictive-State Decoders: Encoding the Future into Recurrent Networks

    Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots,Kris M. Kitani, J. Andrew Bagnell.

    NIPS 2017 [arxiv]

  • Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction

    Wen Sun, Arun Venkatraman, Geoff Gordon, Byron Boots, J. Andrew Bagnell.

    ICML 2017 [selected for oral presentation at RLDM 2017][arxiv]

  • Safety-Aware Algorithms for Adversarial Contextual Bandit

    Wen Sun, Debadeepta Dey, Ashish Kapoor

    ICML 2017 [arxiv]

  • Gradient Boosting on Stochastic Data Streams

    Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell.

    AISTATS 2017 [arxiv]

  • No-Regret Replanning under Uncertainty

    Wen Sun,Niteesh Sood, Debadeepta Dey,Gireeja Ranade, Siddharth Prakash,Ashish Kapoor

    ICRA 2017 [arxiv]

  • Learning to Filter with Predictive State Inference Machines

    Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell.

    ICML 2016 [arxiv]

  • Learning to Smooth with Bidirectional Predictive State Inference Machines

    Wen Sun, Roberto Capobianco, Geoff Gordon, J. Andrew Bagnell, Byron Boots.

    UAI 2016 [pdf][supp]

  • Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees

    Wen Sun, J. Andrew Bagnell.

    IJCAI 2016[pdf][supp]

  • Stochastic Extended LQR: Optimization-based Motion Planning Under Uncertainty

    Wen Sun, Jur van den Berg, Ron Alterovitz.

    IEEE Trans. on Automation Science and Engineering - TASE, 2016 [Publisher]

  • Online Bellman Residual Algorithms with Predictive Error Guarantees

    Wen Sun, J. Andrew Bagnell.

    UAI 2015 [Best Student Paper Award][pdf][supp]

  • High-Frequency Replanning Under Uncertainty Using Parallel Sampling-Based Motion Planning

    Wen Sun, Sachin Patil, Ron Alterovitz.

    IEEE Trans. on Robotics - T-RO, 2015. [Publisher]

  • Stochastic Extended LQR: Optimization-based Motion Planning Under Uncertainty

    Wen Sun, Jur van den Berg, Ron Alterovitz.

    WAFR 2014[pdf][video]

  • Safe Motion Planning for Imprecise Robotic Manipulators by Minimizing Probability of Collision

    Wen Sun, Luis Torres, Jur van den Berg, Ron Alterovitz.

    ISRR, 2013 [pdf][video]