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

Feb 26, 2021
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra

* 19 pages, accepted by AISTATS 2021 

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AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks

Feb 04, 2021
McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

* 8 Pages 

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Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning

Sep 02, 2020
Nathan Lambert, Craig Schindler, Daniel Drew, Kristofer Pister

* 7 pages, 1 page appendix 

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Objective Mismatch in Model-based Reinforcement Learning

Feb 11, 2020
Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

* 8 pages, 2 pages references, 5 pages appendices 

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Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning

Sep 26, 2019
Tianyu Li, Nathan Lambert, Roberto Calandra, Franziska Meier, Akshara Rai

* Submitted to 2020 ICRA 

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