Jin, Jun

7 publications

ICML 2025 Towards the Efficient Inference by Incorporating Automated Computational Phenotypes Under Covariate Shift Chao Ying, Jun Jin, Yi Guo, Xiudi Li, Muxuan Liang, Jiwei Zhao

ICMLW 2024 Reweighted Bellman Targets for Continual Reinforcement Learning Ke Sun, Jun Jin, Xi Chen, Wulong Liu, Linglong Kong

CoLLAs 2023 Auxiliary Task Discovery Through Generate-and-Test Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard Sutton, Jun Luo, Adam White

NeurIPS 2023 EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo

ICLR 2023 Replay Memory as an Empirical MDP: Combining Conservative Estimation with Experience Replay Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller

NeurIPS 2022 A Simple Decentralized Cross-Entropy Method Zichen Zhang, Jun Jin, Martin Jagersand, Jun Luo, Dale Schuurmans

NeurIPSW 2022 Build Generally Reusable Agent-Environment Interaction Models Jun Jin, Hongming Zhang, Jun Luo