Laura M. Smith

According to our database, Laura M. Smith authored at least 26 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Traversability-Aware Legged Navigation by Learning from Real-World Visual Data.

Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura M. Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yun-hui Liu

CoRR, 2024

HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation.

Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura M. Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath

CoRR, 2024

Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models.

Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura M. Smith, Sergey Levine, Chelsea Finn

CoRR, 2024

Language Guided Skill Discovery.

Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha

CoRR, 2024

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning.

Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura M. Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn

RLJ, 2024

Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion.

Laura M. Smith, Yunhao Cao, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment.

Annie S. Chen, Govind Chada, Laura M. Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn

CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.

Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

CoRR, 2023

Learning and Adapting Agile Locomotion Skills by Transferring Experience.

Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning.

Ilya Kostrikov, Laura M. Smith, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Efficient Online Reinforcement Learning with Offline Data.

Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.

Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 2023

2022

A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning.

Laura M. Smith, Ilya Kostrikov, Sergey Levine

CoRR, 2022

Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World.

Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Offline Meta-Reinforcement Learning with Online Self-Supervision.

Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

2021

B-Pref: Benchmarking Preference-Based Reinforcement Learning.

Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.

Kimin Lee, Laura M. Smith, Pieter Abbeel

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos.

Laura M. Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning.

Marvin Zhang, Sharad Vikram, Laura M. Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning.

Marvin Zhang, Sharad Vikram, Laura M. Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

CoRR, 2018

2016

Partitioning Networks with Node Attributes by Compressing Information Flow.

Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus

ACM Trans. Knowl. Discov. Data, 2016

2013

Spectral Clustering with Epidemic Diffusion

Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh

CoRR, 2013

Stochastic Models Predict User Behavior in Social Media.

Tad Hogg, Kristina Lerman, Laura M. Smith

CoRR, 2013

The Role of Social Media in the Discussion of Controversial Topics.

Laura M. Smith, Linhong Zhu, Kristina Lerman, Zornitsa Kozareva

Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Using Stochastic Models to Predict User Response in Social Media.

Tad Hogg, Kristina Lerman, Laura M. Smith

Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

2010

Improving Density Estimation by Incorporating Spatial Information.

Laura M. Smith, Matthew S. Keegan, Todd Wittman, George O. Mohler, Andrea L. Bertozzi

EURASIP J. Adv. Signal Process., 2010