16 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 16 cited
Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon +3
Machine Learning (ML) can help solve combinatorial optimization (CO) problems better. A popular approach is to use a neural net to compute on the parameters of a given CO problem a…
cs.AI2019★ 1 cited
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading
Uk Jo, Taehyun Jo, Wanjun Kim +3
We explore deep Reinforcement Learning(RL) algorithms for scalping trading and knew that there is no appropriate trading gym and agent examples. Thus we propose gym and agent like…
cs.AI2018
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders
Hyungu Kahng, Yonghyun Jeong, Yoon Sang Cho +12
StarCraft, one of the most popular real-time strategy games, is a compelling environment for artificial intelligence research for both micro-level unit control and macro-level stra…