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ORCIDJiaming Ji
Person information
Other persons with a similar name
- Jiaming Guo
- Jiaming Li — disambiguation page
- Jiaming Liu — disambiguation page
- Jiaming Liu 0003
![[0000-0002-6770-4390]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6770-4390")
— Peking University, School of Computer Science, Beijing, China - Jiaming Shen
- Jiaming Song
- Jiaming Wang
- Jiaming Xu — disambiguation page
- Jiaming Zhang (aka: Jia-Ming Zhang, Jia-ming Zhang) — disambiguation page
- Jiaming Zhang 0001 — Karlsruhe Institute of Technology, Institute for Anthropomatics and Robotics, Germany
- show all similar names
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2020 – today
- 2024
[j3]Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang:
Heterogeneous-Agent Reinforcement Learning. J. Mach. Learn. Res. 25: 32:1-32:67 (2024)- [j2]Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang:
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2804-2818 (2024) - [c9]Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang:
SafeDreamer: Safe Reinforcement Learning with World Models. ICLR 2024 - [c8]Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang:
Safe RLHF: Safe Reinforcement Learning from Human Feedback. ICLR 2024 - [c7]Xiongfei Ren, Xiaoyue Su, Yisong Zhao, Yuanzhi Guo, Changsheng Yang, Jiaming Ji, Xinwei Zhang, Bingli Guo, Xuwei Xue:
Multi-task Learning LSTM-based Traffic Prediction in Data Center Networks. ICMLSC 2024: 12-16 - [i17]Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang:
Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction. CoRR abs/2402.02416 (2024) - [i16]Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang:
Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. CoRR abs/2402.10184 (2024) - [i15]Jiaming Ji, Kaile Wang, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Yaodong Yang:
Language Models Resist Alignment. CoRR abs/2406.06144 (2024) - [i14]Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang:
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset. CoRR abs/2406.14477 (2024) - [i13]Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang:
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models. CoRR abs/2406.15513 (2024) - [i12]Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang:
ProgressGym: Alignment with a Millennium of Moral Progress. CoRR abs/2406.20087 (2024) - [i11]Jiayi Zhou, Jiaming Ji, Juntao Dai, Yaodong Yang:
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback. CoRR abs/2409.00162 (2024) - 2023
- [j1]Jiajun Wu, Lumei Su, Zhiwei Lin, Yuhan Chen, Jiaming Ji, Tianyou Li:
Object Detection of Flexible Objects with Arbitrary Orientation Based on Rotation-Adaptive YOLOv5. Sensors 23(10): 4925 (2023) - [c6]Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan:
Augmented Proximal Policy Optimization for Safe Reinforcement Learning. AAAI 2023: 7288-7295 - [c5]Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang:
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning. NeurIPS 2023 - [c4]Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang:
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. NeurIPS 2023 - [c3]Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang:
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. NeurIPS 2023 - [i10]Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang:
Heterogeneous-Agent Reinforcement Learning. CoRR abs/2304.09870 (2023) - [i9]Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang:
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. CoRR abs/2305.09304 (2023) - [i8]Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang:
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. CoRR abs/2307.04657 (2023) - [i7]Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang:
Safe DreamerV3: Safe Reinforcement Learning with World Models. CoRR abs/2307.07176 (2023) - [i6]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:
Baichuan 2: Open Large-scale Language Models. CoRR abs/2309.10305 (2023) - [i5]Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang:
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark. CoRR abs/2310.12567 (2023) - [i4]Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang:
Safe RLHF: Safe Reinforcement Learning from Human Feedback. CoRR abs/2310.12773 (2023) - [i3]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:
AI Alignment: A Comprehensive Survey. CoRR abs/2310.19852 (2023) - 2022
- [c2]Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan:
Constrained Update Projection Approach to Safe Policy Optimization. NeurIPS 2022 - [i2]Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan:
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning. CoRR abs/2202.07565 (2022) - [i1]Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan:
Constrained Update Projection Approach to Safe Policy Optimization. CoRR abs/2209.07089 (2022) - 2021
- [c1]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:
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) 2021: 233-250
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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