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ORCIDLaura M. Smith
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2020 – today
- 2024
[c13]Laura M. Smith, Yunhao Cao, Sergey Levine:
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. ICRA 2024: 10829-10836- [i19]Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha:
Language Guided Skill Discovery. CoRR abs/2406.06615 (2024) - [i18]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 abs/2407.02666 (2024) - [i17]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 abs/2407.06584 (2024) - [i16]Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura M. Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR abs/2408.08441 (2024) - 2023
- [c12]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: 2975-2994 - [c11]Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. ICML 2023: 1577-1594 - [c10]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 - [c9]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 - [i15]Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. CoRR abs/2302.02948 (2023) - [i14]Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR abs/2304.04150 (2023) - [i13]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 abs/2304.09834 (2023) - [i12]Laura M. Smith, Yunhao Cao, Sergey Levine:
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion. CoRR abs/2310.17634 (2023) - [i11]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 abs/2311.01059 (2023) - 2022
- [c8]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML 2022: 17811-17829 - [c7]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: 1593-1599 - [i10]Laura M. Smith, Ilya Kostrikov, Sergey Levine:
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. CoRR abs/2208.07860 (2022) - 2021
- [c6]Kimin Lee, Laura M. Smith, Pieter Abbeel:
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training. ICML 2021: 6152-6163 - [c5]Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel:
B-Pref: Benchmarking Preference-Based Reinforcement Learning. NeurIPS Datasets and Benchmarks 2021 - [i9]Kimin Lee, Laura M. Smith, Pieter Abbeel:
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training. CoRR abs/2106.05091 (2021) - [i8]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. CoRR abs/2107.03974 (2021) - [i7]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. CoRR abs/2110.05457 (2021) - [i6]Kimin Lee, Laura M. Smith, Anca D. Dragan, Pieter Abbeel:
B-Pref: Benchmarking Preference-Based Reinforcement Learning. CoRR abs/2111.03026 (2021) - 2020
- [c4]Laura M. Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine:
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. Robotics: Science and Systems 2020
2010 – 2019
- 2019
- [c3]Marvin Zhang, Sharad Vikram, Laura M. Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine:
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. ICML 2019: 7444-7453 - [i5]Laura M. Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine:
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. CoRR abs/1912.04443 (2019) - 2018
- [i4]Marvin Zhang, Sharad Vikram, Laura M. Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine:
SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning. CoRR abs/1808.09105 (2018) - 2016
- [j2]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): 15:1-15:26 (2016) - 2014
- [i3]Laura M. Smith, Linhong Zhu, Kristina Lerman
, Allon G. Percus:
Partitioning Networks with Node Attributes by Compressing Information Flow. CoRR abs/1405.4332 (2014) - 2013
- [c2]Tad Hogg, Kristina Lerman, Laura M. Smith:
Using Stochastic Models to Predict User Response in Social Media. SocialCom 2013: 63-68 - [c1]Laura M. Smith, Linhong Zhu, Kristina Lerman, Zornitsa Kozareva:
The Role of Social Media in the Discussion of Controversial Topics. SocialCom 2013: 236-243 - [i2]Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh:
Spectral Clustering with Epidemic Diffusion. CoRR abs/1303.2663 (2013) - [i1]Tad Hogg, Kristina Lerman, Laura M. Smith:
Stochastic Models Predict User Behavior in Social Media. CoRR abs/1308.2705 (2013) - 2010
- [j1]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)
Coauthor Index
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last updated on 2024-10-30 21:34 CET by the dblp team
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