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Joseph J. Lim — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Joseph J. Lim
19
papers ·
104
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Accelerating Reinforcement Learning with Learned Skill Priors
2020 · 19 citations
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
2020 · 15 citations
Generalization to New Actions in Reinforcement Learning
2020 · 10 citations
Demonstration-Guided Reinforcement Learning with Learned Skills
2021 · 9 citations
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
2023 · 7 citations
Skill-based Model-based Reinforcement Learning
2022 · 5 citations
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
2023 · 2 citations
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
2021 · 1 citations
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
2023 · 1 citations
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
2023 · 1 citations
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
2018
Learning to Synthesize Programs as Interpretable and Generalizable Policies
2021
Top co-authors
Youngwoon Lee
· 6
Karl Pertsch
· 5
Jesse Zhang
· 3
Shao-Hua Sun
· 3
Ayush Jain
· 2
Gaurav S. Sukhatme
· 2
Peter Englert
· 2
Andrew Szot
· 1
Doohyun Lee
· 1
Dweep Trivedi
· 1
Eric Heiden
· 1
Gaurav Sukhatme
· 1
Topics
Model-Based RL
Meta-RL
Exploration
Offline RL
Safe RL
Policy Gradient
Multi-Agent
Value-Based
RLHF & Alignment