Hongsheng Yu

3 papers · 2020–2023 · 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 🐣 Hot Topic Early Bird 🏆 Keyword Champion (3)

Venues

NeurIPS (2) AAAI (1)

Top co-authors

Qiang Fu (3) Wei Yang (3) Tengfei Shi (2) Lanxiao Huang (2) Xipeng Wu (2) Deheng Ye (2) Bei Shi (2) Zhao Liu (2) Yinyuting Yin (2) Liang Wang (2)

Research topics

Reinforcement Learning (2) Applications (2) Methods (2) Artificial Intelligence (1) Computer Science (1) Deep Learning (1) Machine Learning (1) Mathematics & Optimization (1) Core AI (1) Foundations (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization (1)

Keywords

game artificial intelligence (3) game ai (2) reinforcement learning (1) policy gradient (1) policy learning (1) monte carlo tree search (1) opponent modeling (1) starcraft ii (1) policy distillation (1) action control (1) multi-agent system (1) actor-critic network (1) moba game (1) league training (1) deep reinforcement learning (1) exploiter agent (1) multi-agent reinforcement learning (1)

Papers

A Robust and Opponent-Aware League Training Method for StarCraft II NeurIPS 2023 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020