no code implementations • 18 Feb 2023 • Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare.
no code implementations • 2 May 2021 • Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo Jin Kim, Min Chi
Overall, our results show that the effectiveness of InferNet is robust against noisy reward functions and is an effective add-on mechanism for solving temporal CAP in a wide range of RL tasks, from classic RL simulation environments to a real-world RL problem and for both online and offline learning.