no code implementations • 6 Feb 2024 • Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
In Reinforcement Learning (RL), it is commonly assumed that an immediate reward signal is generated for each action taken by the agent, helping the agent maximize cumulative rewards to obtain the optimal policy.
1 code implementation • 4 Jul 2022 • Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama
Recent years have witnessed a great success of supervised deep learning, where predictive models were trained from a large amount of fully labeled data.