Resultados da pesquisa - Yu, Tianhe

Variable-Shot Adaptation for Online Meta-Learning Por Yu, Tianhe, Geng, Xinyang, Finn, Chelsea, Levine, Sergey

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Offline Reinforcement Learning from Images with Latent Space Models Por Rafailov, Rafael, Yu, Tianhe, Rajeswaran, Aravind, Finn, Chelsea

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Visual Adversarial Imitation Learning using Variational Models Por Rafailov, Rafael, Yu, Tianhe, Rajeswaran, Aravind, Finn, Chelsea

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Offline Reinforcement Learning at Multiple Frequencies Por Burns, Kaylee, Yu, Tianhe, Finn, Chelsea, Hausman, Karol

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Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching Por Yu, Lantao, Yu, Tianhe, Song, Jiaming, Neiswanger, Willie, Ermon, Stefano

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Gradient Surgery for Multi-Task Learning Por Yu, Tianhe, Kumar, Saurabh, Gupta, Abhishek, Levine, Sergey, Hausman, Karol, Finn, Chelsea

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Measuring and Harnessing Transference in Multi-Task Learning Por Fifty, Christopher, Amid, Ehsan, Zhao, Zhe, Yu, Tianhe, Anil, Rohan, Finn, Chelsea

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COMBO: Conservative Offline Model-Based Policy Optimization Por Yu, Tianhe, Kumar, Aviral, Rafailov, Rafael, Rajeswaran, Aravind, Levine, Sergey, Finn, Chelsea

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Efficiently Identifying Task Groupings for Multi-Task Learning Por Fifty, Christopher, Amid, Ehsan, Zhao, Zhe, Yu, Tianhe, Anil, Rohan, Finn, Chelsea

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Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Por Yu, Tianhe, Kumar, Aviral, Chebotar, Yevgen, Hausman, Karol, Levine, Sergey, Finn, Chelsea

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How to Leverage Unlabeled Data in Offline Reinforcement Learning Por Yu, Tianhe, Kumar, Aviral, Chebotar, Yevgen, Hausman, Karol, Finn, Chelsea, Levine, Sergey

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What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Por Burns, Kaylee, Witzel, Zach, Hamid, Jubayer Ibn, Yu, Tianhe, Finn, Chelsea, Hausman, Karol

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Contrastive Example-Based Control Por Hatch, Kyle, Eysenbach, Benjamin, Rafailov, Rafael, Yu, Tianhe, Salakhutdinov, Ruslan, Levine, Sergey, Finn, Chelsea

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MOPO: Model-based Offline Policy Optimization Por Yu, Tianhe, Thomas, Garrett, Yu, Lantao, Ermon, Stefano, Zou, James, Levine, Sergey, Finn, Chelsea, Ma, Tengyu

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Latent-Variable Advantage-Weighted Policy Optimization for Offline RL Por Chen, Xi, Ghadirzadeh, Ali, Yu, Tianhe, Gao, Yuan, Wang, Jianhao, Li, Wenzhe, Liang, Bin, Finn, Chelsea, Zhang, Chongjie

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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Por Yu, Tianhe, Quillen, Deirdre, He, Zhanpeng, Julian, Ryan, Narayan, Avnish, Shively, Hayden, Bellathur, Adithya, Hausman, Karol, Finn, Chelsea, Levine, Sergey

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SWE-Together: Evaluating Coding Agents in Interactive User Sessions Por Wu, Yifan, Zhao, Zhuokai, Li, Songlin, Lee, Ho Hin, Zhu, Jiacheng, Wu, Shirley, Yu, Tianhe, Li, Serena, Zhang, Lizhu, Fan, Xiangjun, Li, Shengzhi

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Train Offline, Test Online: A Real Robot Learning Benchmark Por Zhou, Gaoyue, Dean, Victoria, Srirama, Mohan Kumar, Rajeswaran, Aravind, Pari, Jyothish, Hatch, Kyle, Jain, Aryan, Yu, Tianhe, Abbeel, Pieter, Pinto, Lerrel, Finn, Chelsea, Gupta, Abhinav

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Scaling Robot Learning with Semantically Imagined Experience Por Yu, Tianhe, Xiao, Ted, Stone, Austin, Tompson, Jonathan, Brohan, Anthony, Wang, Su, Singh, Jaspiar, Tan, Clayton, M, Dee, Peralta, Jodilyn, Ichter, Brian, Hausman, Karol, Xia, Fei

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RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches Por Sundaresan, Priya, Vuong, Quan, Gu, Jiayuan, Xu, Peng, Xiao, Ted, Kirmani, Sean, Yu, Tianhe, Stark, Michael, Jain, Ajinkya, Hausman, Karol, Sadigh, Dorsa, Bohg, Jeannette, Schaal, Stefan

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