Kendall Lowrey

22 papers A* 2A 2Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning.
Trans. Mach. Learn. Res.
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
2022 A* conf
BAM: Bayes with Adaptive Memory.
ICLR
Josue Nassar, Jennifer Rogers Brennan, Ben Evans, Kendall Lowrey
2022 J jnl
BAM: Bayes with Adaptive Memory.
CoRR
Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey
2021 — conf
Faster Policy Learning with Continuous-Time Gradients.
L4DC
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
2021 J jnl
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning.
CoRR
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
2020 J jnl
Faster Policy Learning with Continuous-Time Gradients.
CoRR
Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa
2020 A* conf
Information Theoretic Regret Bounds for Online Nonlinear Control.
NeurIPS
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
2020 J jnl
Information Theoretic Regret Bounds for Online Nonlinear Control.
CoRR
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
2020 — conf
Lyceum: An efficient and scalable ecosystem for robot learning.
L4DC
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov
2020 J jnl
Lyceum: An efficient and scalable ecosystem for robot learning.
CoRR
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov
2020 J jnl
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control.
CoRR
Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox
2020 J jnl
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control.
IEEE Robotics Autom. Lett.
Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox
2019 — conf
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control.
ICLR (Poster)
Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch
2018 J jnl
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control.
CoRR
Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch
2018 — conf
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system.
SIMPAR
Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov
2018 J jnl
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system.
CoRR
Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov
2017 — conf
Towards Generalization and Simplicity in Continuous Control.
NIPS
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade
2017 J jnl
Towards Generalization and Simplicity in Continuous Control.
CoRR
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade
2016 — conf
Real-time state estimation with whole-body multi-contact dynamics: A modified UKF approach.
Humanoids
Kendall Lowrey, Jeremy Dao, Emanuel Todorov
2015 A conf
Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids.
IROS
Igor Mordatch, Kendall Lowrey, Emanuel Todorov
2015 — conf
Interactive Control of Diverse Complex Characters with Neural Networks.
NIPS
Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov
2014 A conf
Physically-consistent sensor fusion in contact-rich behaviors.
IROS
Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov