Kendall Lowrey

According to our database, Kendall Lowrey authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Koopman Spectrum Nonlinear Regulators and Efficient Online Learning.

Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara

Trans. Mach. Learn. Res., 2024

2022

BAM: Bayes with Adaptive Memory.

Josue Nassar, Jennifer Rogers Brennan, Ben Evans, Kendall Lowrey

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning.

Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara

CoRR, 2021

Faster Policy Learning with Continuous-Time Gradients.

Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control.

Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox

IEEE Robotics Autom. Lett., 2020

Information Theoretic Regret Bounds for Online Nonlinear Control.

Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lyceum: An efficient and scalable ecosystem for robot learning.

Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019

Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control.

Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system.

Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov

Proceedings of the 2018 IEEE International Conference on Simulation, 2018

2017

Towards Generalization and Simplicity in Continuous Control.

Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Real-time state estimation with whole-body multi-contact dynamics: A modified UKF approach.

Kendall Lowrey, Jeremy Dao, Emanuel Todorov

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

Interactive Control of Diverse Complex Characters with Neural Networks.

Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids.

Igor Mordatch, Kendall Lowrey, Emanuel Todorov

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Physically-consistent sensor fusion in contact-rich behaviors.

Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014