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Lerrel Pinto — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Lerrel Pinto
37
papers ·
1106
citations ·
30
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Robust Adversarial Reinforcement Learning
2017 · 385 citations
Reinforcement Learning with Augmented Data
2020 · 247 citations
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
2021 · 67 citations
Self-Supervised Policy Adaptation during Deployment
2020 · 58 citations
Reinforcement Learning with Prototypical Representations
2021 · 42 citations
Automatic Curriculum Learning through Value Disagreement
2020 · 34 citations
Environment Probing Interaction Policies
2019 · 33 citations
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
2022 · 21 citations
Learning to Manipulate Deformable Objects without Demonstrations
2019 · 18 citations
Generalized Hindsight for Reinforcement Learning
2020 · 18 citations
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
2020 · 14 citations
URLB: Unsupervised Reinforcement Learning Benchmark
2021 · 11 citations
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
2018 · 10 citations
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
2022 · 8 citations
Task-Agnostic Morphology Evolution
2021 · 5 citations
Top co-authors
Pieter Abbeel
· 9
Denis Yarats
· 5
Alessandro Lazaric
· 3
Abhinav Gupta
· 2
Albert Zhan
· 2
Ben Evans
· 2
Kimin Lee
· 2
Michael Laskin
· 2
Michael Laskin
· 2
Rob Fergus
· 2
Adam Stooke
· 1
Aditya Mandalika
· 1
Topics
Exploration
Meta-RL
Value-Based
Model-Based RL
Offline RL
Safe RL
Policy Gradient
cs.RO
Multi-Agent
cs.CV