Shenghua Wan
7 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (7) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
Conferences
ICML (4)
IJCAI (2)
NIPS (1)
Top co-authors
Keywords
intrinsic reward
(2)
representation learning
(1)
reinforcement learning
(1)
adversarial learning
(1)
policy optimization
(1)
transfer learning
(1)
trajectory prediction
(1)
partially observable markov decision process
(1)
model-based reinforcement learning
(1)
reward function
(1)
reward model
(1)
bi-level optimization
(1)
world model
(1)
exploration strategy
(1)
unsupervised reinforcement learning
(1)
state separation
(1)
visual imitation
(1)
visual distraction
(1)
model-based imitation learning
(1)
distractor elimination
(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
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NIPS 2024
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
IJCAI 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
ICML 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