Weidong Huang

5 papers · 2018–2025 · 5 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 · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🏆 Grand Slam

🧭 Keyword Pioneer

Venues

AAAI (1) ICLR (1) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Yaodong Yang (4) Jiaming Ji (3) Borong Zhang (3) Xuehai Pan (2) Ruiyang Sun (2) Jiayi Zhou (2) Yiran Geng (2) Xinyan Cai (1) Jiaxiang Wu (1) Tong Zhang (1)

Research topics

Artificial Intelligence (4) Reinforcement Learning (4) Core AI (4) Machine Learning (2) Applications (2) Methods (2) Optimization & Theory (2) Deep Learning (1) Application Areas (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

safe reinforcement learning (3) policy optimization (1) policy gradient (1) constraint optimization (1) policy learning (1) distributed optimization (1) ai safety (1) risk minimization (1) constraint satisfaction (1) model-based reinforcement learning (1) robot control (1) cost function (1) gradient compression (1) world model (1) safety benchmark (1) error compensation (1) lagrangian method (1) agent system (1) agent safety (1) safe policy optimization (1)

Papers

Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025 OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024 SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024 Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark NeurIPS 2023 Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization ICML 2018