"Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games ..."

Shengyi Huang et al. (2021)

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DOI: 10.1109/COG52621.2021.9619076

access: closed

type: Conference or Workshop Paper

metadata version: 2021-12-10

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  - conf/cig/HuangO0G21
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  - https://dblp.org/rec/conf/cig/HuangO0G21
Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. CoG 2021: 1-8

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