no code implementations • 25 Sep 2021 • Yunhao Yang, Zhaokun Xue, Andrew Whinston
As for the main contribution, we design a self-enhancing mechanism that uses a reinforcement learning algorithm to optimize the clustering algorithm without additional training data.
no code implementations • 7 Nov 2020 • Yunhao Yang, Andrew Whinston
Supervised learning is based on the assumption that the ground truth in the training data is accurate.
no code implementations • 17 Aug 2020 • Yunhao Yang, Andrew Whinston
This paper gives a detailed review of reinforcement learning (RL) in combinatorial optimization, introduces the history of combinatorial optimization starting in the 1950s, and compares it with the RL algorithms of recent years.