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Qiang He — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Qiang He
9
papers ·
37
citations ·
13
h-index
Ruhr University Bochum
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
WD3: Taming the Estimation Bias in Deep Reinforcement Learning
2020 · 26 citations
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
2021 · 6 citations
POPO: Pessimistic Offline Policy Optimization
2020 · 2 citations
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
2023 · 1 citations
The $f$-Divergence Reinforcement Learning Framework
2021
Centralized Cooperative Exploration Policy for Continuous Control Tasks
2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
2023
Top co-authors
Xinwen Hou
· 6
Chen Gong
· 3
Chao Li
· 2
Yu Liu
· 2
Chen Gong
· 1
Guoliang Fan
· 1
Huangyuan Su
· 1
Meng Fang
· 1
Setareh Maghsudi
· 1
Tianyi Zhou
· 1
Xianjie Zhang
· 1
Xiaoyu Chen
· 1
Topics
Policy Gradient
Value-Based
Exploration
Model-Based RL
Offline RL
Game AI
Multi-Agent