55 citations · 118 across the 4 of their papers we have counts for
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3 papers · 1 filter
cs.AI2022★ 19 cited
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism
Yunhui Zeng, Zijun Liao, Yuanzhi Dai +3
The dynamic job-shop scheduling problem (DJSP) is a class of scheduling tasks that specifically consider the inherent uncertainties such as changing order requirements and possible…
cs.AI2020★ 42 cited
Towards Playing Full MOBA Games with Deep Reinforcement Learning
Deheng Ye, Guibin Chen, Wen Zhang +15
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose grand challenges to AI systems such as multi-agent, enormous state-action space, complex action control, etc.…
cs.AI2020★ 55 cited
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Deheng Ye, Guibin Chen, Peilin Zhao +15
We present JueWu-SL, the first supervised-learning-based artificial intelligence (AI) program that achieves human-level performance in playing multiplayer online battle arena (MOBA…