Laura Smith

Hello! I'm a PhD student in CS at UC Berkeley advised by Sergey Levine. I work on enabling robots to interact with and learn in the real world, so as to acquire human-like abilities. My early PhD was supported in part by the NSF Graduate Research Fellowship, and I am thankful to be supported now by a Google PhD Fellowship.

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smithlaura at berkeley dot edu

NewScientist article "Robot dog learns to walk on tough terrain in just 20 minutes"

Berkeley Engineering article "Step by Step"

TechXplore article "A technique that allows legged robots to continuously learn from their environment"

TechXplore article "AVID: a framework to enhance imitation learning in robots"

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

Laura Smith*, Yunhao Cao*, Sergey Levine
ICRA 2024
Webpage • PDF

Learning and Adapting Agile Locomotion Skills by Transferring Experience

Laura Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
RSS 2023
Webpage • PDF

RoboPianist: Dexterous Piano Playing with Deep RL

Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
CoRL 2023
Webpage • PDF • Code • Colab • Demo

Efficient Online Reinforcement Learning with Offline Data

Philip J. Ball*, Laura Smith*, Ilya Kostrikov*, Sergey Levine
ICML 2023.
PDF • Code

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

Laura Smith*, Ilya Kostrikov*, Sergey Levine
RSS Demo Track, 2023.
Webpage • PDF • Code

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

Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
ICRA 2022.
Webpage • PDF • Code

Offline Meta-Reinforcement Learning with Online Self-Supervision

Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine
ICML 2022.
Webpage • PDF

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

Kimin Lee*, Laura Smith*, Pieter Abbeel
ICML 2021, Long Oral Presentation.
Webpage • PDF • Code

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

Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
RSS 2020.
Webpage • PDF • BAIR Blog

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

Marvin Zhang*, Sharad Vikram*, Laura Smith, Pieter Abbeel, Matthew Johnson, Sergey Levine
ICML 2019.
Webpage • PDF • Code • BAIR Blog

2022

Co-Organizer, CoRL Workshop on Learning to Adapt and Improve in the Real World

2022+

Reviewer, CoRL, RA-L, ICRA, NeurIPS, IROS, ICLR.

Board Member, UC Berkeley Women in EECS

2020+

Co-Organizer, Berkeley AI Research Mentoring Program

2019

Guest Lecture at UC Berkeley CS287: Advanced Robotics (video)

2018-2020

Co-Organizer, Robot Learning Lab Outreach

2018

Guest Lecture at UC Berkeley CS10: The Beauty and Joy of Computing (video)