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Laura Smith — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Laura Smith
28
papers ·
258
citations ·
12
h-index
Google (United States) · Berkeley College · Google DeepMind (United Kingdom) · University of California, Berkeley
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Most-cited papers
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
2018 · 131 citations
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning
2022 · 25 citations
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
2021 · 13 citations
Efficient Online Reinforcement Learning with Offline Data
2023 · 13 citations
Offline Meta-Reinforcement Learning with Online Self-Supervision
2021 · 8 citations
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
2023 · 5 citations
B-Pref: Benchmarking Preference-Based Reinforcement Learning
2021 · 3 citations
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
2019 · 2 citations
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
2024 · 2 citations
$π^*_0.6$: a VLA That Learns From Experience
2025
Learning and Adapting Agile Locomotion Skills by Transferring Experience
2023
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
2023
Top co-authors
Sergey Levine
· 9
Pieter Abbeel
· 5
Ilya Kostrikov
· 3
Chelsea Finn
· 2
Kimin Lee
· 2
Marvin Zhang
· 2
Xue Bin Peng
· 2
Adnan Esmail
· 1
Adrian Li-Bell
· 1
Alex Swerdlow
· 1
Ali Amin
· 1
Allen Z. Ren
· 1
Topics
Exploration
Model-Based RL
Offline RL
Safe RL
Policy Gradient
Value-Based
RLHF & Alignment
Meta-RL
cs.LG
cs.RO