Search Results - "Zhou, Gaoyue"
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DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Published 07-11-2024“…The ability to predict future outcomes given control actions is fundamental for physical reasoning. However, such predictive models, often called world models,…”
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Journal Article -
2
Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia
Published 05-07-2022“…While neural networks demonstrate a remarkable ability to model linguistic content, capturing contextual information related to a speaker's conversational role…”
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Journal Article -
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RoboHive: A Unified Framework for Robot Learning
Published 10-10-2023“…We present RoboHive, a comprehensive software platform and ecosystem for research in the field of Robot Learning and Embodied Artificial Intelligence. Our…”
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Real World Offline Reinforcement Learning with Realistic Data Source
Published in 2023 IEEE International Conference on Robotics and Automation (ICRA) (29-05-2023)“…Offline reinforcement learning (ORL) holds great promise for robot learning due to its ability to learn from arbitrary pre-generated experience. However,…”
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Conference Proceeding -
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Real World Offline Reinforcement Learning with Realistic Data Source
Published 12-10-2022“…Offline reinforcement learning (ORL) holds great promise for robot learning due to its ability to learn from arbitrary pre-generated experience. However,…”
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Journal Article -
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Train Offline, Test Online: A Real Robot Learning Benchmark
Published in 2023 IEEE International Conference on Robotics and Automation (ICRA) (29-05-2023)“…Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do…”
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Conference Proceeding -
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Train Offline, Test Online: A Real Robot Learning Benchmark
Published 01-06-2023“…Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do…”
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Journal Article -
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Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Published 19-11-2020“…Reinforcement learning provides a general framework for flexible decision making and control, but requires extensive data collection for each new task that an…”
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Journal Article