no code implementations • 16 Sep 2020 • Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
Second, by adapting experimental design to information acquired during the test, it reduces substantially the cost of experimentation to the advertiser.
no code implementations • 17 Jan 2019 • Jun Hao
The methods for optimizing academic-buildings are distinct from the optimal methods for home appliances.
no code implementations • 18 Aug 2017 • Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li
We present LADDER, the first deep reinforcement learning agent that can successfully learn control policies for large-scale real-world problems directly from raw inputs composed of high-level semantic information.