Jiaming Ji

According to our database, Jiaming Ji authored at least 21 papers between 2021 and 2024.

Collaborative distances:

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

2024

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.

Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective.

Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang

CoRR, 2024

Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction.

Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang

CoRR, 2024

Multi-task Learning LSTM-based Traffic Prediction in Data Center Networks.

Xiongfei Ren, Xiaoyue Su, Yisong Zhao, Yuanzhi Guo, Changsheng Yang, Jiaming Ji, Xinwei Zhang, Bingli Guo, Xuwei Xue

Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

2023

Object Detection of Flexible Objects with Arbitrary Orientation Based on Rotation-Adaptive YOLOv5.

Jiajun Wu, Lumei Su, Zhiwei Lin, Yuhan Chen, Jiaming Ji, Tianyou Li

Sensors, 2023

AI Alignment: A Comprehensive Survey.

Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao

CoRR, 2023

Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang

CoRR, 2023

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang

CoRR, 2023

Baichuan 2: Open Large-scale Language Models.

Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, Weipeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu

CoRR, 2023

Safe DreamerV3: Safe Reinforcement Learning with World Models.

Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang

CoRR, 2023

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.

Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang

CoRR, 2023

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research.

Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang

CoRR, 2023

Heterogeneous-Agent Reinforcement Learning.

Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang

CoRR, 2023

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang

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

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.

Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang

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

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning.

Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang

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

Augmented Proximal Policy Optimization for Safe Reinforcement Learning.

Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Constrained Update Projection Approach to Safe Policy Optimization.

Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan

CoRR, 2022

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning.

Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan

CoRR, 2022

Constrained Update Projection Approach to Safe Policy Optimization.

Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan

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

2021

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.

Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar

Proceedings of the NeurIPS 2022 Competition Track, 2021