Nathan O. Lambert

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ran Wei, Nathan O. Lambert, Anthony D. McDonald, Alfredo Garcia, Roberto Calandra
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. CoRR (2023)
Nathan O. Lambert, Roberto Calandra
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback. CoRR (2023)
Alexander N. Alvara, Lydia Lee, Emmanuel Sin, Nathan O. Lambert, Andrew J. Westphal, Kristofer S. J. Pister
BLISS: Interplanetary Exploration with Swarms of Low-Cost Spacecraft. CoRR (2023)
Nathan O. Lambert, Kristofer S. J. Pister, Roberto Calandra
Investigating Compounding Prediction Errors in Learned Dynamics Models. CoRR (2022)
Nathan O. Lambert, Craig B. Schindler, Daniel S. Drew, Kristofer S. J. Pister
Nonholonomic Yaw Control of an Underactuated Flying Robot With Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (1) (2021)
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR (2021)
Mark Selden, Jason Zhou, Felipe Campos, Nathan O. Lambert, Daniel S. Drew, Kristofer S. J. Pister
BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-Agent and Swarm Control. MRS (2021)
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CDC (2021)
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS (2021)
Mark Selden, Jason Zhou, Felipe Campos, Nathan O. Lambert, Daniel S. Drew, Kristofer S. J. Pister
BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control. CoRR (2021)
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. CoRR (2021)
Nathan O. Lambert, Craig B. Schindler, Daniel S. Drew, Kristofer S. J. Pister
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning. CoRR (2020)
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CoRR (2020)
Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
Objective Mismatch in Model-based Reinforcement Learning. L4DC (2020)
Nathan O. Lambert, Farhan Toddywala, Brian Liao, Eric Zhu, Lydia Lee, Kristofer S. J. Pister
Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification. CoRR (2020)
Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
Objective Mismatch in Model-based Reinforcement Learning. CoRR (2020)
Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA (2020)
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S. J. Pister
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement learning. CoRR (2019)
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Sergey Levine, Roberto Calandra, Kristofer S. J. Pister
Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 4 (4) (2019)
Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR (2019)
Daniel S. Drew, Nathan O. Lambert, Craig B. Schindler, Kristofer S. J. Pister
Toward Controlled Flight of the Ionocraft: A Flying Microrobot Using Electrohydrodynamic Thrust With Onboard Sensing and No Moving Parts. IEEE Robotics Autom. Lett. 3 (4) (2018)