mlsanityData to 7 Oct 2026

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

arXiv 2011.12582 ↗First posted 25 Nov 2020cs.AI cs.LGcited by 18

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Abstract (arXiv)

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) games. Unlike prior attempts, we integrate the macro-strategy and the micromanagement of MOBA-game-playing into neural networks in a supervised and end-to-end manner. Tested on Honor of Kings, the most popular MOBA at present, our AI performs competitively at the level of High King players in standard 5v5 games.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 5; 2023: 3; 2024: 4; 2025: 0; 2026: 1.

18 papers.

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  1. 2023Imitating Human Behaviour with Diffusion Modelscited by 260
  2. 2021JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learningcited by 28
  3. 2022Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learningcited by 27
  4. 2021TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrationscited by 18
  5. 2022Pretraining in Deep Reinforcement Learning: A Surveycited by 18
  6. 2022Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualizationcited by 13
  7. 2022Revisiting Discrete Soft Actor-Criticcited by 11
  8. 2024Affordable Generative Agentscited by 8
  9. 2021Boosting Offline Reinforcement Learning with Residual Generative Modelingcited by 7
  10. 2021Learning Diverse Policies in MOBA Games via Macro-Goalscited by 7
  11. 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspectivecited by 5
  12. 2024LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agentscited by 5
6 more
  1. 2024Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gaincited by 4
  2. 2023ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learningcited by 2
  3. 2022Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemblecited by 1
  4. 2021Towards Controllable Agent in MOBA Games with Generative Modelingcited by 0
  5. 2024Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learningcited by 0
  6. 2026Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA Gamescited by 0