Shenghua Wan
7 papers · 2023–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Reinforcement Learning
(6)
Artificial Intelligence
(4)
Methods
(4)
Machine Learning
(3)
Core AI · Artificial Intelligence
(3)
Applications
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Deep Learning
(1)
Robotics
(1)
Application Areas
(1)
Capabilities
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
world model
(3)
distractors
(2)
intrinsic reward
(2)
reinforcement learning
(1)
transfer learning
(1)
trajectory prediction
(1)
policy optimization
(1)
partially observable markov decision process
(1)
model-based reinforcement learning
(1)
reward function
(1)
bilevel optimization
(1)
reward model
(1)
foundation model
(1)
exploration strategy
(1)
goal-conditioned policy
(1)
policy learning
(1)
uncertainty estimation
(1)
adversarial learning
(1)
unsupervised reinforcement learning
(1)
representation learning
(1)
Papers
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
ICML 2025
Reward Models in Deep Reinforcement Learning: A Survey
IJCAI 2025
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
ICML 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NeurIPS 2024
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
IJCAI 2024
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
ICML 2024
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
ICML 2023