Che Wang
9 papers · 2020–2026 · 5 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 · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
🧬
Topic Evolution
Venues
Top co-authors
Research topics
Keywords
deep reinforcement learning
(4)
sample efficiency
(3)
representation learning
(2)
reinforcement learning
(2)
offline reinforcement learning
(2)
continuous control
(2)
policy learning
(1)
markov decision process
(1)
value function
(1)
state representation
(1)
batch reinforcement learning
(1)
entropy maximization
(1)
off-policy learning
(1)
visual representation learning
(1)
synthetic data
(1)
replay buffer
(1)
model-free reinforcement learning
(1)
decision transformer
(1)
evolutionary search
(1)
offline rl
(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
NeurIPS 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
NeurIPS 2022
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
ICLR 2021
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
NeurIPS 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
ICML 2020