Kendall Lowrey

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Online Learning

Bregman Divergences

Top Venues

Publications

Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning. Trans. Mach. Learn. Res. 2024 (2024)
Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey
BAM: Bayes with Adaptive Memory. CoRR (2022)
Josue Nassar, Jennifer Rogers Brennan, Ben Evans, Kendall Lowrey
BAM: Bayes with Adaptive Memory. ICLR (2022)
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. CoRR (2021)
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
Faster Policy Learning with Continuous-Time Gradients. L4DC (2021)
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov
Lyceum: An efficient and scalable ecosystem for robot learning. CoRR (2020)
Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control. CoRR (2020)
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
Faster Policy Learning with Continuous-Time Gradients. CoRR (2020)
Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control. IEEE Robotics Autom. Lett. 5 (2) (2020)
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
Information Theoretic Regret Bounds for Online Nonlinear Control. NeurIPS (2020)
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
Information Theoretic Regret Bounds for Online Nonlinear Control. CoRR (2020)
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov
Lyceum: An efficient and scalable ecosystem for robot learning. L4DC (2020)
Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. ICLR (Poster) (2019)
Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. CoRR (2018)
Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system. CoRR (2018)
Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system. SIMPAR (2018)
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade
Towards Generalization and Simplicity in Continuous Control. NIPS (2017)
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade
Towards Generalization and Simplicity in Continuous Control. CoRR (2017)
Kendall Lowrey, Jeremy Dao, Emanuel Todorov
Real-time state estimation with whole-body multi-contact dynamics: A modified UKF approach. Humanoids (2016)
Igor Mordatch, Kendall Lowrey, Emanuel Todorov
Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids. IROS (2015)
Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov
Interactive Control of Diverse Complex Characters with Neural Networks. NIPS (2015)
Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov
Physically-consistent sensor fusion in contact-rich behaviors. IROS (2014)