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On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Model-based Reinforcement Learning (MBRL) is a promising framework for l...
02/26/2021 ∙ by Baohe Zhang, et al. ∙
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AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
Despite interest in communicating ethical problems and social contexts w...
02/04/2021 ∙ by McKane Andrus, et al. ∙
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Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
Nonholonomic control is a candidate to control nonlinear systems with pa...
09/02/2020 ∙ by Nathan Lambert, et al. ∙
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Objective Mismatch in Model-based Reinforcement Learning
Model-based reinforcement learning (MBRL) has been shown to be a powerfu...
02/11/2020 ∙ by Nathan Lambert, et al. ∙
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Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
Learning to locomote to arbitrary goals on hardware remains a challengin...
09/26/2019 ∙ by Tianyu Li, et al. ∙
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