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Qiang Fu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:09 AM AMS

18

papers

364

total citations

papers (18)

Towards Playing Full MOBA Games with Deep Reinforcement Learning

NEURIPS 2020arXiv

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning

NEURIPS 2022arXiv

Text-to-Image Generation for Abstract Concepts

Policy Space Diversity for Non-Transitive Games

NEURIPS 2023arXiv

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

Learning Diverse Policies in MOBA Games via Macro-Goals

NEURIPS 2021arXiv

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

NEURIPS 2023arXiv

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization

Neuron with Steady Response Leads to Better Generalization

NEURIPS 2022arXiv

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain

Latent Space Imaging

Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning

An Open-Ended Learning Framework for Opponent Modeling

Multispectral Illumination Estimation Using Deep Unrolling Network

Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging

A Robust and Opponent-Aware League Training Method for StarCraft II