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Jesse Zhang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jesse Zhang
26
papers ·
145
citations ·
11
h-index
Vyne Therapeutics (Israel)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
2020 · 38 citations
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
2020 · 26 citations
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
2021 · 24 citations
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
2023 · 7 citations
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
2023 · 7 citations
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
2024 · 6 citations
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
2023 · 1 citations
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
2026
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
2026
Learning to Synthesize Programs as Interpretable and Generalizable Policies
2021
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
2024
Top co-authors
Abhishek Gupta
· 2
Chelsea Finn
· 2
Jiahui Zhang
· 2
Sergey Levine
· 2
Shao-Hua Sun
· 2
Abrar Anwar
· 1
Andreea Bobu
· 1
Anqi Li
· 1
Aviral Kumar
· 1
Avi Singh
· 1
Brian Cheung
· 1
Dinesh Jayaraman
· 1
Topics
Model-Based RL
Meta-RL
Exploration
Policy Gradient
cs.RO
cs.AI
cs.LG
Offline RL
RLHF & Alignment
Safe RL