Apr 11, 2024 · In this study, we aim to scale up demonstrations in a data-efficient way to facilitate the learning of generalist robotic agents. We introduce ...
Apr 11, 2024 · We introduce AdaDemo (Adaptive Online Demonstration Expansion), a general framework designed to improve multi-task policy learning by actively ...
Encouraged by the remarkable achievements of language and vision foundation models, developing generalist robotic agents through imitation learning, using.
Apr 11, 2024 · The paper introduces AdaDemo, a framework for data-efficient demonstration expansion to train generalist robotic agents. The key components of ...
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox ...
Learning Gentle Robotic Manipulation of Deformable Objects - arxiv-sanity
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In this study, we aim to scale up demonstrations in a data-efficient way to facilitate the learning of generalist robotic agents. We introduce AdaDemo (Adaptive ...
AdaDemo, a framework that actively and continuously expands the demonstration dataset, can progressively improve the performance of multi-task visual policies ...
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AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent ... generalist robotic agents through imitation learning, using large ...
Efficient exploration with self-imitation learning via trajectory ... AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent.
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent by Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg.