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JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning [article]

Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2021 arXiv   pre-print
Notably, we won the championship of the NeurIPS MineRL 2021 research competition and achieved the highest performance score ever.  ...  To address this, we propose JueWu-MC, a sample-efficient hierarchical RL approach equipped with representation learning and imitation learning to deal with perception and exploration.  ...  Since the release of MineRL, a number of efforts have been made on developing Minecraft AI agents, e.g., ForgER [Skrynnik et al., 2021] , SEIHAI [Mao et al., 2021] .  ... 
arXiv:2112.04907v1 fatcat:sz4tps5w25a37mrdfjvcaaqe6y