The effects of syntactic and discourse variables on the segmental intelligibility of speech. - Judith C. Goodman; Howard C. Nusbaum; Lisa Lee; Kevin Broihier (ICSLP, 1990)

Robotic Search & Rescue via Online Multi-task Reinforcement Learning. - Lisa Lee (CoRR, 2015)

How does joint procurement affect the design, customisation and usability of a hospital ePrescribing system? - Lisa Lee; Robin Williams 001; Aziz Sheikh (Health Informatics J., 2016)

Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study. - Hajar Mozaffar; Kathrin M. Cresswell; Lisa Lee; Robin Williams 001; Aziz Sheikh (BMC Medical Informatics Decis. Mak., 2016)

Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection. - Xiaodan Liang; Lisa Lee; Eric P. Xing (CVPR, 2017)

Dual Motion GAN for Future-Flow Embedded Video Prediction. - Xiaodan Liang; Lisa Lee; Wei Dai 003; Eric P. Xing (ICCV, 2017)

Combining LSTM and Latent Topic Modeling for Mortality Prediction. - Yohan Jo; Lisa Lee; Shruti Palaskar (CoRR, 2017)

LSTM Iteration Networks: An Exploration of Differentiable Path Finding. - Lisa Lee; Emilio Parisotto; Devendra Singh Chaplot; Ruslan Salakhutdinov (ICLR (Workshop), 2018)

Gated Path Planning Networks. - Lisa Lee; Emilio Parisotto; Devendra Singh Chaplot; Eric P. Xing; Ruslan Salakhutdinov (ICML, 2018)

On the Complexity of Exploration in Goal-Driven Navigation. - Maruan Al-Shedivat; Lisa Lee; Ruslan Salakhutdinov; Eric P. Xing (CoRR, 2018)

Efficient Exploration via State Marginal Matching. - Lisa Lee; Benjamin Eysenbach; Emilio Parisotto; Eric P. Xing; Sergey Levine; Ruslan Salakhutdinov (CoRR, 2019)

External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. - Andrew Pavlo; Matthew Butrovich; Ananya Joshi 001; Lin Ma 006; Prashanth Menon; Dana Van Aken; Lisa Lee; Ruslan Salakhutdinov (IEEE Data Eng. Bull., 2019)

f-IRL: Inverse Reinforcement Learning via State Marginal Matching. - Tianwei Ni; Harshit S. Sikchi; Yufei Wang; Tejus Gupta; Lisa Lee; Ben Eysenbach (CoRL, 2020)

Embodied Multimodal Multitask Learning. - Devendra Singh Chaplot; Lisa Lee; Ruslan Salakhutdinov; Devi Parikh; Dhruv Batra (IJCAI, 2020)

Weakly-Supervised Reinforcement Learning for Controllable Behavior. - Lisa Lee; Ben Eysenbach; Ruslan Salakhutdinov; Shixiang Shane Gu; Chelsea Finn (NeurIPS, 2020)

Multi-Game Decision Transformers. - Kuang-Huei Lee; Ofir Nachum; Mengjiao Yang 001; Lisa Lee; Daniel Freeman; Sergio Guadarrama; Ian Fischer; Winnie Xu; Eric Jang; Henryk Michalewski; Igor Mordatch (NeurIPS, 2022)

Multimodal Masked Autoencoders Learn Transferable Representations. - Xinyang Geng; Hao Liu 055; Lisa Lee; Dale Schuurams; Sergey Levine; Pieter Abbeel (CoRR, 2022)

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models. - Hao Liu 055; Lisa Lee; Kimin Lee; Pieter Abbeel (CoRR, 2022)

FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners. - Hao Liu 055; Xinyang Geng; Lisa Lee; Igor Mordatch; Sergey Levine; Sharan Narang; Pieter Abbeel (CoRR, 2022)

Learning Embodied Agents with Scalably-Supervised Reinforcement Learning - Lisa Lee (2022)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Spectral Decomposition Representation for Reinforcement Learning. - Tongzheng Ren; Tianjun Zhang; Lisa Lee; Joseph E. Gonzalez; Dale Schuurmans; Bo Dai 001 (ICLR, 2023)

Guide Your Agent with Adaptive Multimodal Rewards. - Changyeon Kim; Younggyo Seo; Hao Liu; Lisa Lee; Jinwoo Shin; Honglak Lee; Kimin Lee (NeurIPS, 2023)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation. - Annie Xie; Lisa Lee; Ted Xiao; Chelsea Finn (ICRA, 2024)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)