Can Chang

According to our database, Can Chang authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu

CoRR, 2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A semi-supervised classification RBM with an improved fMRI representation algorithm.

Can Chang, Ning Liu, Li Yao, Xiaojie Zhao

Comput. Methods Programs Biomed., 2022

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.

Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022