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of 4
pro vyhledávání: '"Yoon, Iljoo"'
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 and extract useful information that guides the search for good solution
Externí odkaz:
http://arxiv.org/abs/2106.11113
In neural combinatorial optimization (CO), reinforcement learning (RL) can turn a deep neural net into a fast, powerful heuristic solver of NP-hard problems. This approach has a great potential in practical applications because it allows near-optimal
Externí odkaz:
http://arxiv.org/abs/2010.16011
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 Open AI gym in finance. Not only that, we introduce new RL framework b
Externí odkaz:
http://arxiv.org/abs/1904.00441
Autor:
Kahng, Hyungu, Jeong, Yonghyun, Cho, Yoon Sang, Ahn, Gonie, Park, Young Joon, Jo, Uk, Lee, Hankyu, Do, Hyungrok, Lee, Junseung, Choi, Hyunjin, Yoon, Iljoo, Lee, Hyunjae, Jun, Daehun, Bae, Changhyeon, Kim, Seoung Bum
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 strategic decision making. In this study, we address an eminent problem co
Externí odkaz:
http://arxiv.org/abs/1811.12627