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Yecheng Jason Ma — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yecheng Jason Ma
11
papers ·
133
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Eureka: Human-Level Reward Design via Coding Large Language Models
2023 · 48 citations
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
2022 · 35 citations
LIV: Language-Image Representations and Rewards for Robotic Control
2023 · 24 citations
Conservative Offline Distributional Reinforcement Learning
2021 · 15 citations
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
2021 · 2 citations
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
2022 · 2 citations
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
2023
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
2024
Top co-authors
Dinesh Jayaraman
· 7
Osbert Bastani
· 7
Jason Yan
· 2
William Liang
· 2
Amy Zhang
· 1
Amy Zhang
· 1
Andrew Shen
· 1
Anima Anandkumar
· 1
De-An Huang
· 1
Guanzhi Wang
· 1
Jan-Willem van de Meent
· 1
Karl Schmeckpeper
· 1
Topics
Offline RL
Value-Based
Model-Based RL
Safe RL
RLHF & Alignment
Policy Gradient
Exploration