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2020 – today
- 2023
[c10]Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. ICLR 2023- [i19]Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jose Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - [i18]Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn:
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation. CoRR abs/2307.03659 (2023) - [i17]Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong T. Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR abs/2307.15818 (2023) - [i16]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. CoRR abs/2309.10790 (2023) - 2022
- [c9]Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch:
Multi-Game Decision Transformers. NeurIPS 2022 - [i15]Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurams, Sergey Levine, Pieter Abbeel:
Multimodal Masked Autoencoders Learn Transferable Representations. CoRR abs/2205.14204 (2022) - [i14]Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch:
Multi-Game Decision Transformers. CoRR abs/2205.15241 (2022) - [i13]Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. CoRR abs/2208.09515 (2022) - [i12]Hao Liu, Lisa Lee, Kimin Lee, Pieter Abbeel:
Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models. CoRR abs/2210.13431 (2022) - [i11]Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel:
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners. CoRR abs/2210.13432 (2022) - 2020
- [c8]Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRL 2020: 529-551 - [c7]Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. IJCAI 2020: 2442-2448 - [c6]Lisa Lee, Ben Eysenbach, Ruslan Salakhutdinov, Shixiang Shane Gu, Chelsea Finn:
Weakly-Supervised Reinforcement Learning for Controllable Behavior. NeurIPS 2020 - [i10]Lisa Lee
, Benjamin Eysenbach, Ruslan Salakhutdinov, Shixiang Gu, Chelsea Finn:
Weakly-Supervised Reinforcement Learning for Controllable Behavior. CoRR abs/2004.02860 (2020) - [i9]Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRR abs/2011.04709 (2020)
2010 – 2019
- 2019
- [j3]Andrew Pavlo, Matthew Butrovich, Ananya Joshi, Lin Ma, Prashanth Menon, Dana Van Aken, Lisa Lee, Ruslan Salakhutdinov:
External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. IEEE Data Eng. Bull. 42(2): 32-46 (2019) - [i8]Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. CoRR abs/1902.01385 (2019) - [i7]Lisa Lee, Benjamin Eysenbach, Emilio Parisotto, Eric P. Xing, Sergey Levine, Ruslan Salakhutdinov:
Efficient Exploration via State Marginal Matching. CoRR abs/1906.05274 (2019) - 2018
- [c5]Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Ruslan Salakhutdinov:
LSTM Iteration Networks: An Exploration of Differentiable Path Finding. ICLR (Workshop) 2018 - [c4]Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric P. Xing, Ruslan Salakhutdinov:
Gated Path Planning Networks. ICML 2018: 2953-2961 - [i6]Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric P. Xing, Ruslan Salakhutdinov:
Gated Path Planning Networks. CoRR abs/1806.06408 (2018) - [i5]Maruan Al-Shedivat, Lisa Lee, Ruslan Salakhutdinov, Eric P. Xing:
On the Complexity of Exploration in Goal-Driven Navigation. CoRR abs/1811.06889 (2018) - 2017
- [c3]Xiaodan Liang, Lisa Lee, Eric P. Xing:
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection. CVPR 2017: 4408-4417 - [c2]Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing:
Dual Motion GAN for Future-Flow Embedded Video Prediction. ICCV 2017: 1762-1770 - [i4]Xiaodan Liang, Lisa Lee, Eric P. Xing:
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection. CoRR abs/1703.03054 (2017) - [i3]Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing:
Dual Motion GAN for Future-Flow Embedded Video Prediction. CoRR abs/1708.00284 (2017) - [i2]Yohan Jo, Lisa Lee, Shruti Palaskar:
Combining LSTM and Latent Topic Modeling for Mortality Prediction. CoRR abs/1709.02842 (2017) - 2016
- [j2]Lisa Lee, Robin Williams, Aziz Sheikh:
How does joint procurement affect the design, customisation and usability of a hospital ePrescribing system? Health Informatics J. 22(4): 828-838 (2016) - [j1]Hajar Mozaffar, Kathrin M. Cresswell, Lisa Lee, Robin Williams, Aziz Sheikh:
Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study. BMC Medical Informatics Decis. Mak. 16: 25 (2016) - 2015
- [i1]Lisa Lee:
Robotic Search & Rescue via Online Multi-task Reinforcement Learning. CoRR abs/1511.08967 (2015)
1990 – 1999
- 1990
- [c1]Judith C. Goodman, Howard C. Nusbaum, Lisa Lee, Kevin Broihier:
The effects of syntactic and discourse variables on the segmental intelligibility of speech. ICSLP 1990: 393-396
Coauthor Index
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last updated on 2023-09-27 22:52 CEST by the dblp team
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