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Yongquan Fu

3 papers · 2022–2025 · 2 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

NeurIPS (2) ICLR (1)

Top co-authors

Weiquan Liu (3) Siqi Shen (3) Cheng Wang (3) CHAO LI (2) Xinwang Liu (2) Chenglu Wen (1) Chenxing Lin (1) Chennan Ma (1) Songzhu Mei (1) Mengwei Qiu (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Reinforcement Learning (2) Core AI (2) Learning Types (2) Methods (2) Deep Learning (1) Application Areas (1) Applications (1) Core Methods (1) Models (1)

Keywords

multi-agent reinforcement learning (3) distributional reinforcement learning (2) diffusion model (1) value factorization (1) risk-sensitive reinforcement learning (1) value function factorization (1) joint policy (1) value at risk (1) residual function (1) stochastic value (1) individual global max (1) noise factorization (1) offline reinforcement learning (1)

Papers

DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning ICLR 2025 RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2023 ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2022