ERL-Re : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation HAO Jianye, P Li, H Tang, Y Zheng, X Fu, Z Meng
The Eleventh International Conference on Learning Representations, 2022
37 * 2022 Race: improve multi-agent reinforcement learning with representation asymmetry and collaborative evolution P Li, J Hao, H Tang, Y Zheng, X Fu
International Conference on Machine Learning, 19490-19503, 2023
18 2023 Bridging evolutionary algorithms and reinforcement learning: A comprehensive survey on hybrid algorithms P Li, J Hao, H Tang, X Fu, Y Zhen, K Tang
IEEE Transactions on Evolutionary Computation, 2024
17 * 2024 Pan-cancer identification of the relationship of metabolism-related differentially expressed transcription regulation with non-differentially expressed target genes via a gated … M Duan, Y Wang, Y Qiao, Y Wang, X Pan, Z Hu, Y Ran, X Fu, Y Fan, ...
Computers in Biology and Medicine 148, 105883, 2022
9 2022 Evorainbow: Combining improvements in evolutionary reinforcement learning for policy search P Li, Y Zheng, H Tang, X Fu, HAO Jianye
Forty-first International Conference on Machine Learning, 2024
3 2024 Enhancing Multimodal Large Language Models on Demonstrative Multi-Image Instructions X Fu
Proceedings of the 32nd ACM International Conference on Multimedia, 11429-11434, 2024
1 2024 MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning M Zhang, X Fu, J Hao, P Han, H Zhang, L Shi, H Tang, Y Zheng
arXiv preprint arXiv:2407.05047, 2024
1 2024 What can VLMs Do for Zero-shot Embodied Task Planning? X Fu, M Zhang, HAO Jianye, P Han, H Zhang, L Shi, H Tang
ICML 2024 Workshop on LLMs and Cognition, 2024
1 2024