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Muning Wen

11 papers · 2021–2025 · 7 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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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸ† Grand Slam
⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (56)

Venues

ICLR (3) NeurIPS (3) AAAI (1) ACL (1) ICML (1) JMLR (1) RSS (1)

Top co-authors

Jun Wang (8) Weinan Zhang (7) Ying Wen (5) Yaodong Yang (4) Ziyu Wan (3) Qiqiang Lin (2) Qiuying Peng (2) shangding gu (2) Jakub Grudzien Kuba (2) Xiaoyun Mo (2)

Research topics

Artificial Intelligence (8) Core AI (8) Reinforcement Learning (7) Machine Learning (6) Methods (6) Learning Types (4) Applications (2) Optimization & Theory (2) Deep Learning (1) Application Areas (1) Architectures (1)

Keywords

multi-agent reinforcement learning (5) reinforcement learning (3) function calling (2) proximal policy optimization (2) offline reinforcement learning (1) policy optimization (1) sequence modeling (1) tree search (1) benchmark suite (1) policy gradient (1) llm evaluation (1) robust reinforcement learning (1) humanoid robot (1) parallel computing (1) optimal baseline (1) domain generalization (1) variance reduction (1) safe reinforcement learning (1) exploration exploitation (1) sim-to-real transfer (1)

Papers

Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025 HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios ACL 2025 Learning Humanoid Standing-up Control across Diverse Postures RSS 2025 Robust Function-Calling for On-Device Language Model via Function Masking ICLR 2025 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning ICLR 2025 AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training ICML 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition NeurIPS 2024 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning ICLR 2022 Settling the Variance of Multi-Agent Policy Gradients NeurIPS 2021