no code implementations • 5 Jan 2024 • Daoan Zhang, Junming Yang, Hanjia Lyu, Zijian Jin, Yuan YAO, Mingkai Chen, Jiebo Luo
When exploring the development of Artificial General Intelligence (AGI), a critical task for these models involves interpreting and processing information from multiple image inputs.
Ranked #3 on Visual Reasoning on Winoground
1 code implementation • 5 Sep 2023 • Junming Yang, Xingguo Chen, Shengyuan Wang, Bolei Zhang
Model-based offline reinforcement learning (RL), which builds a supervised transition model with logging dataset to avoid costly interactions with the online environment, has been a promising approach for offline policy optimization.
no code implementations • 24 May 2023 • Qi Wang, Junming Yang, Yunbo Wang, Xin Jin, Wenjun Zeng, Xiaokang Yang
Training offline reinforcement learning (RL) models using visual inputs poses two significant challenges, i. e., the overfitting problem in representation learning and the overestimation bias for expected future rewards.
no code implementations • 6 Nov 2019 • Junming Yang, Yaoqi Li, Xuanyu Chen, Jiahang Cao, Kangkang Jiang
Training a practical and effective model for stock selection has been a greatly concerned problem in the field of artificial intelligence.