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Jan, 2019
MalmÖ中的多智能体强化学习(MARLÖ)竞赛
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
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Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, Andre Kramer...
TL;DR
该文章介绍了多智能体强化学习研究的一个新挑战——MARLO竞赛,它在多个3D游戏中提出了跨游戏和对手类型学习的普适智能代理概念,并建议作为人工智能通用智能方向的一个里程碑挑战。
Abstract
Learning in multi-agent scenarios is a fruitful research direction, but current approaches still show
scalability
problems in multiple games with general
reward settings
and different opponent types. The Multi-Ag
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