Yecheng Jason Ma
11 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (4) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5)
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Conference Polyglot
(7)
🌈
Renaissance Researcher
(5)
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Dynamic Duo
(10)
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Mega-Team
(98)
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Unstoppable
(5)
💎
Century Club
(11)
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Trend Setter
Conferences
ICLR (4)
RSS (2)
AAAI (1)
CORL (1)
ICCV (1)
ICML (1)
L4DC (1)
Top co-authors
Keywords
model-based reinforcement learning
(2)
sample efficiency
(1)
imitation learning
(1)
sim-to-real transfer
(1)
uncertainty quantification
(1)
trajectory forecasting
(1)
likelihood sampling
(1)
diverse sampling
(1)
domain randomization
(1)
constraint satisfaction
(1)
reward function
(1)
policy improvement
(1)
generalization ability
(1)
reward learning
(1)
robot manipulation
(1)
safe reinforcement learning
(1)
normalizing flow
(1)
policy training
(1)
vision-language model
(1)
robotic control
(1)
Papers
Vision Language Models are In-Context Value Learners
ICLR 2025
Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model
ICLR 2025
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Eureka: Human-Level Reward Design via Coding Large Language Models
ICLR 2024
DrEureka: Language Model Guided Sim-To-Real Transfer
RSS 2024
Environment Curriculum Generation via Large Language Models
CORL 2024
LIV: Language-Image Representations and Rewards for Robotic Control
ICML 2023
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
ICLR 2023
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
L4DC 2023
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
AAAI 2022
Likelihood-Based Diverse Sampling for Trajectory Forecasting
ICCV 2021