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Qiang Fu โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Qiang Fu
55
papers ยท
782
citations ยท
22
h-index
Air Force Engineering University ยท China National Institute of Standardization ยท Changsha University of Science and Technology
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Towards Playing Full MOBA Games with Deep Reinforcement Learning
2020 ยท 43 citations
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
2019 ยท 25 citations
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
2021 ยท 13 citations
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
2022 ยท 12 citations
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
2022 ยท 6 citations
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
2021 ยท 4 citations
Boosting Offline Reinforcement Learning with Residual Generative Modeling
2021 ยท 3 citations
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
2023 ยท 3 citations
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking
2021 ยท 2 citations
Future-conditioned Unsupervised Pretraining for Decision Transformer
2023 ยท 2 citations
Learning Diverse Policies in MOBA Games via Macro-Goals
2021 ยท 1 citations
RLTF: Reinforcement Learning from Unit Test Feedback
2023 ยท 1 citations
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
2024 ยท 1 citations
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
2024 ยท 1 citations
Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
2025
Top co-authors
Deheng Ye
ยท 15
Wei Yang
ยท 15
Liang Wang
ยท 4
Zichuan Lin
ยท 4
Bo Yuan
ยท 3
Jian Cheng
ยท 3
Junliang Xing
ยท 3
Kai Li
ยท 3
Hao Wu
ยท 2
Hua Wei
ยท 2
Lin Liu
ยท 2
Sheng Chen
ยท 2
Topics
Policy Gradient
Multi-Agent
Exploration
Game AI
Meta-RL
Offline RL
Model-Based RL
Value-Based
RLHF & Alignment
Safe RL