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Jiashun Liu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jiashun Liu
15
papers ·
10
citations ·
15
h-index
Liaoning Technical University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Part II: ROLL Flash -- Accelerating RLVR and Agentic Training with Asynchrony
2025 · 5 citations
Complementary Reinforcement Learning
2026
Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy
2026
Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
2025
The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning
2026
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
2025
Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
2025
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
2025
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
2025
Neuroplastic Expansion in Deep Reinforcement Learning
2024
Top co-authors
Ling Pan
· 8
Aaron Courville
· 4
Bo Zheng
· 4
Johan Obando-Ceron
· 4
Weixun Wang
· 4
Wenbo Su
· 4
Han Lu
· 3
Jiamang Wang
· 3
Pablo Samuel Castro
· 3
Shaopan Xiong
· 3
Ju Huang
· 2
Junchi Yan
· 2
Topics
cs.LG
Value-Based
cs.AI
cs.CL
Model-Based RL
Offline RL
Exploration
Policy Gradient
Meta-RL