Laura M. Smith

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Top Venues

Robotics: Science and Systems

Publications

Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
Language Guided Skill Discovery. CoRR (2024)
Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura M. Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath
HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. CoRR (2024)
Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura M. Smith, Sergey Levine, Chelsea Finn
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. CoRR (2024)
Laura M. Smith, Yunhao Cao, Sergey Levine
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. ICRA (2024)
Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. CoRR (2023)
Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems (2023)
Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL (2023)
Laura M. Smith, Yunhao Cao, Sergey Levine
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. CoRR (2023)
Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR (2023)
Ilya Kostrikov, Laura M. Smith, Sergey Levine
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. Robotics: Science and Systems (2023)
Annie S. Chen, Govind Chada, Laura M. Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. CoRR (2023)
Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR (2023)
Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. ICML (2023)
Vitchyr H. Pong, Ashvin V. Nair, Laura M. Smith, Catherine Huang, Sergey Levine
Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML (2022)
Laura M. Smith, Ilya Kostrikov, Sergey Levine
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. CoRR (2022)
Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA (2022)
Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel
B-Pref: Benchmarking Preference-Based Reinforcement Learning. NeurIPS Datasets and Benchmarks (2021)
Kimin Lee, Laura M. Smith, Pieter Abbeel
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training. ICML (2021)
Kimin Lee, Laura M. Smith, Pieter Abbeel
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training. CoRR (2021)
Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus
Partitioning Networks with Node Attributes by Compressing Information Flow. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus
Partitioning Networks with Node Attributes by Compressing Information Flow. CoRR (2014)
Tad Hogg, Kristina Lerman, Laura M. Smith
Stochastic Models Predict User Behavior in Social Media. CoRR (2013)
Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh
Spectral Clustering with Epidemic Diffusion CoRR (2013)
Tad Hogg, Kristina Lerman, Laura M. Smith
Using Stochastic Models to Predict User Response in Social Media. SocialCom (2013)
Laura M. Smith, Linhong Zhu, Kristina Lerman, Zornitsa Kozareva
The Role of Social Media in the Discussion of Controversial Topics. SocialCom (2013)
Laura M. Smith, Matthew S. Keegan, Todd Wittman, George O. Mohler, Andrea L. Bertozzi
Improving Density Estimation by Incorporating Spatial Information. EURASIP J. Adv. Signal Process. 2010 (2010)