Nathan O. Lambert

According to our database, Nathan O. Lambert authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback.

Nathan O. Lambert, Roberto Calandra

CoRR, 2023

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning.

Ran Wei, Nathan O. Lambert, Anthony D. McDonald, Alfredo Garcia, Roberto Calandra

CoRR, 2023

BLISS: Interplanetary Exploration with Swarms of Low-Cost Spacecraft.

Alexander N. Alvara, Lydia Lee, Emmanuel Sin, Nathan O. Lambert, Andrew J. Westphal, Kristofer S. J. Pister

CoRR, 2023

2022

Investigating Compounding Prediction Errors in Learned Dynamics Models.

Nathan O. Lambert, Kristofer S. J. Pister, Roberto Calandra

CoRR, 2022

2021

Nonholonomic Yaw Control of an Underactuated Flying Robot With Model-Based Reinforcement Learning.

Nathan O. Lambert, Craig B. Schindler, Daniel S. Drew, Kristofer S. J. Pister

IEEE Robotics Autom. Lett., 2021

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.

Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra

CoRR, 2021

BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-Agent and Swarm Control.

Mark Selden, Jason Zhou, Felipe Campos, Nathan O. Lambert, Daniel S. Drew, Kristofer S. J. Pister

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning.

Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning.

Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification.

Nathan O. Lambert, Farhan Toddywala, Brian Liao, Eric Zhu, Lydia Lee, Kristofer S. J. Pister

CoRR, 2020

Objective Mismatch in Model-based Reinforcement Learning.

Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

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

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning.

Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning.

Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Sergey Levine, Roberto Calandra, Kristofer S. J. Pister

IEEE Robotics Autom. Lett., 2019

2018

Toward Controlled Flight of the Ionocraft: A Flying Microrobot Using Electrohydrodynamic Thrust With Onboard Sensing and No Moving Parts.

Daniel S. Drew, Nathan O. Lambert, Craig B. Schindler, Kristofer S. J. Pister

IEEE Robotics Autom. Lett., 2018