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ORCIDNathan O. Lambert
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2020 – today
- 2022
[i10]Nathan O. Lambert, Kristofer S. J. Pister, Roberto Calandra:
Investigating Compounding Prediction Errors in Learned Dynamics Models. CoRR abs/2203.09637 (2022)- 2021
- [j3]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): 455-461 (2021) - [c5]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: 4015-4023 - [c4]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: 2880-2887 - [c3]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: 101-109 - [i9]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 abs/2102.13651 (2021) - [i8]Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra:
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. CoRR abs/2104.10159 (2021) - [i7]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 abs/2108.13606 (2021) - 2020
- [c2]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA 2020: 413-419 - [c1]Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra:
Objective Mismatch in Model-based Reinforcement Learning. L4DC 2020: 761-770 - [i6]Nathan O. Lambert, Brandon Amos, Omry Yadan, Roberto Calandra:
Objective Mismatch in Model-based Reinforcement Learning. CoRR abs/2002.04523 (2020) - [i5]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 abs/2004.13194 (2020) - [i4]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 abs/2009.01221 (2020) - [i3]Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra:
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. CoRR abs/2012.09156 (2020)
2010 – 2019
- 2019
- [j2]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): 4224-4230 (2019) - [i2]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 abs/1901.03737 (2019) - [i1]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR abs/1909.12324 (2019) - 2018
- [j1]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): 2807-2813 (2018)
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