Open AccessCityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Author(s) -
Marvin Chancán
Publication year - 2020
Language(s) - Uncategorized
DOI - 10.36227/techrxiv.12063582.v1
Subject(s) - leverage (statistics) , tree traversal , software deployment , computer science , sample (material) , reinforcement learning , artificial intelligence , benchmark (surveying) , perception , robot , machine learning , geography , cartography , algorithm , chemistry , chromatography , neuroscience , biology , operating system
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