Yecheng Jason Ma
11 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π€ Dynamic Duo (10)
π₯
Mega-Team Β· Legion
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Century Club Β· Bronze
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Keyword Collector
(52)
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Unstoppable Β· Bronze
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Research topics
Keywords
vision-language model
(3)
model-based reinforcement learning
(2)
representation learning
(2)
reward learning
(2)
large language model
(2)
sim-to-real transfer
(1)
imitation learning
(1)
zero-shot learning
(1)
in-context learning
(1)
self-supervised learning
(1)
code generation
(1)
visual representation
(1)
trajectory forecasting
(1)
likelihood sampling
(1)
offline reinforcement learning
(1)
constraint satisfaction
(1)
value function
(1)
uncertainty quantification
(1)
domain randomization
(1)
diverse sampling
(1)
Papers
Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model
ICLR 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
DrEureka: Language Model Guided Sim-To-Real Transfer
RSS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Environment Curriculum Generation via Large Language Models
CoRL 2024
Eureka: Human-Level Reward Design via Coding Large Language Models
ICLR 2024
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
L4DC 2023
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
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
AAAI 2022
Likelihood-Based Diverse Sampling for Trajectory Forecasting
ICCV 2021