no code implementations • 12 Dec 2023 • Shaopeng Zhai, Jie Wang, Tianyi Zhang, Fuxian Huang, Qi Zhang, Ming Zhou, Jing Hou, Yu Qiao, Yu Liu
Building embodied agents on integrating Large Language Models (LLMs) and Reinforcement Learning (RL) have revolutionized human-AI interaction: researchers can now leverage language instructions to plan decision-making for open-ended tasks.
1 code implementation • IEEE 2021 • Yingxu Qiao, Jiabao Cui, Fuxian Huang, Hongmin Liu, Cuizhu Bao, Xi Li
Photorealistic style transfer is a challenging task, which demands the stylized image remains real.
no code implementations • 1 Apr 2020 • Weichao Li, Xi Li, Omar Elfarouk Bourahla, Fuxian Huang, Fei Wu, Wei Liu, Zhiheng Wang, Hongmin Liu
Visual tracking is typically solved as a discriminative learning problem that usually requires high-quality samples for online model adaptation.
no code implementations • 23 Apr 2018 • Weichao Li, Fuxian Huang, Xi Li, Gang Pan, Fei Wu
A critical and challenging problem in reinforcement learning is how to learn the state-action value function from the experience replay buffer and simultaneously keep sample efficiency and faster convergence to a high quality solution.