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Yecheng Jason Ma — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yecheng Jason Ma
9
papers ·
142
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023 · 101 citations
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
2022 · 35 citations
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
2024 · 3 citations
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
2022 · 2 citations
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
2024 · 1 citations
Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping
2026
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
2024
Eurekaverse: Environment Curriculum Generation via Large Language Models
2024
Eureka: Human-Level Reward Design via Coding Large Language Models
2023
Topics
Manipulation
Control
Human-Robot Interaction
Sim-to-Real
Multi-Robot
Perception
Locomotion
Code
Reinforcement Learning
In-Context Learning