Jonathan Lee

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Function Approximation

Online Learning

Voice Recognition

Top Venues

Publications

Jonathan Lee, Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, Emma Brunskill
Estimating Optimal Policy Value in Linear Contextual Bandits Beyond Gaussianity. Trans. Mach. Learn. Res. 2024 (2024)
Aldo Pacchiano, Jonathan Lee, Emma Brunskill
Experiment Planning with Function Approximation. NeurIPS (2023)
Aadirupa Saha, Aldo Pacchiano, Jonathan Lee
Dueling RL: Reinforcement Learning with Trajectory Preferences. AISTATS (2023)
Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang
Learning in POMDPs is Sample-Efficient with Hindsight Observability. ICML (2023)
Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill
Supervised Pretraining Can Learn In-Context Reinforcement Learning. NeurIPS (2023)
Jonathan Lee, George Tucker, Ofir Nachum, Bo Dai
Model Selection in Batch Policy Optimization. ICML (2022)
Ajay Kumar Tanwani, Andy Yan, Jonathan Lee, Sylvain Calinon, Ken Goldberg
Sequential robot imitation learning from observations. Int. J. Robotics Res. 40 (10-11) (2021)
Aldo Pacchiano, Aadirupa Saha, Jonathan Lee
Dueling RL: Reinforcement Learning with Trajectory Preferences. CoRR (2021)
Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots
Online Learning with Continuous Variations: Dynamic Regret and Reductions. AISTATS (2020)
Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots
Continuous Online Learning and New Insights to Online Imitation Learning. CoRR (2019)
Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Felix Li, Arsh Zahed, Joseph E. Gonzalez, Ken Goldberg
On-Policy Robot Imitation Learning from a Converging Supervisor. CoRL (2019)
Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Arsh Zahed, Felix Li, Joseph E. Gonzalez, Ken Goldberg
On-Policy Robot Imitation Learning from a Converging Supervisor. CoRR (2019)
Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots
Online Learning with Continuous Variations: Dynamic Regret and Reductions. CoRR (2019)
Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints. CoRR (2018)
Brandie Nonnecke, Shrestha Mohanty, Andrew Lee, Jonathan Lee, Sequoia Beckman, Justin Mi, Thanatcha Panpairoj, Jeffrey Rosario Ancheta, Hilary Martinez, Nathaniel Oco, Rachel Edita Roxas, Camille Crittenden, Ken Goldberg
Malasakit 2.0: A Participatory Online Platform with Feature Phone Integration and Voice Recognition for Crowdsourcing Disaster Risk Reduction Strategies in the Philippines. GHTC (2018)
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR (2018)
Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. CASE (2018)
Jonathan Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. CoRR (2018)
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR (2018)
Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg
Iterative Noise Injection for Scalable Imitation Learning. CoRR (2017)
Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Ken Goldberg
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. ICRA (2017)
Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg
DART: Noise Injection for Robust Imitation Learning. CoRL (2017)
Brandie Nonnecke, Shrestha Mohanty, Andrew Lee, Jonathan Lee, Sequoia Beckman, Justin Mi, Sanjay Krishnan, Rachel Edita Roxas, Nathaniel Oco, Camille Crittenden, Ken Goldberg
Malasakit 1.0: A participatory online platform for crowdsourcing disaster risk reduction strategies in the philippines. GHTC (2017)
Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Kenneth Y. Goldberg
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations. CoRR (2016)
Michael Laskey, Jonathan Lee, Caleb Chuck, David V. Gealy, Wesley Yu-Shu Hsieh, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations. CASE (2016)