Che Wang
9 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer
π
Cross-Pollinator
(14)
Conferences
ICLR (3)
NIPS (3)
EACL (1)
ICML (1)
RSS (1)
Top co-authors
Keywords
deep reinforcement learning
(3)
representation learning
(2)
sample efficiency
(2)
imitation learning
(1)
robotic manipulation
(1)
self-supervised learning
(1)
multi-modal learning
(1)
policy learning
(1)
value function
(1)
continuous control
(1)
state representation
(1)
batch reinforcement learning
(1)
entropy maximization
(1)
off-policy learning
(1)
visual representation learning
(1)
replay buffer
(1)
evolutionary search
(1)
offline rl
(1)
auxiliary loss
(1)
sparse datum
(1)
Papers
SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System
EACL 2026
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
RSS 2025
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
ICLR 2024
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
ICLR 2022
Reinforcement Learning with Automated Auxiliary Loss Search
NIPS 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
NIPS 2022
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
ICLR 2021
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
ICML 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
NIPS 2020