Jiaming Ji

According to our database, Jiaming Ji authored at least 70 papers between 2021 and 2026.

Collaborative distances:

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

2026

AI Alignment: A Contemporary Survey.

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

ACM Comput. Surv., April, 2026

RedVLA: Physical Red Teaming for Vision-Language-Action Models.

Yuhao Zhang, Borong Zhang, Jiaming Fan, Jiachen Shen, Yishuai Cai, Yaodong Yang, Jiaming Ji

CoRR, April, 2026

ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling.

Ang Li, Xinyang Gong, Bozhou Chen, Yunlong Lu, Jiaming Ji, Yongyi Wang, Yaodong Yang, Wenxin Li

CoRR, March, 2026

VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment.

Jiawei Chen, Tianzhuo Yang, Guoxi Zhang, Jiaming Ji, Yaodong Yang, Juntao Dai

CoRR, March, 2026

Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods.

Mingxu Zhang, Huicheng Zhang, Jiaming Ji, Yaodong Yang, Ying Sun

CoRR, January, 2026

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning.

Yujin Zhou, Pengcheng Wen, Jiale Chen, Boqin Yin, Han Zhu, Jiaming Ji, Juntao Dai, Chi-Min Chan, Sirui Han

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models.

Borong Zhang, Jiahao Li, Jiachen Shen, Yishuai Cai, Yuhao Zhang, Yuanpei Chen, Juntao Dai, Jiaming Ji, Yaodong Yang

CoRR, December, 2025

Are Your Agents Upward Deceivers?

Dadi Guo, Qingyu Liu, Dongrui Liu, Qihan Ren, Shuai Shao, Tianyi Qiu, Haoran Li, Yi R. Fung, Zhongjie Ba, Juntao Dai, Jiaming Ji, Zhikai Chen, Jialing Tao, Yaodong Yang, Jing Shao, Xia Hu

CoRR, December, 2025

Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models.

Sitong Fang, Shiyi Hou, Kaile Wang, Boyuan Chen, Donghai Hong, Jiayi Zhou, Josef Dai, Yaodong Yang, Jiaming Ji

CoRR, December, 2025

Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning.

Minghe Gao, Juncheng Li, Yuze Lin, Xuqi Liu, Jiaming Ji, Xiaoran Pan, Zihan Xu, Xian Li, Mingjie Li, Wei Ji, Rong Wei, Rui Tang, Qizhou Wang, Kai Shen, Jun Xiao, Qi Wu, Siliang Tang, Yueting Zhuang

CoRR, December, 2025

AI Deception: Risks, Dynamics, and Controls.

Boyuan Chen, Sitong Fang, Jiaming Ji, Yanxu Zhu, Pengcheng Wen, Jinzhou Wu, Yingshui Tan, Boren Zheng, Mengying Yuan, Wenqi Chen, Donghai Hong, Alex Qiu, Xin Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Borong Zhang, Tianzhuo Yang, Saad Siddiqui, Isabella Duan, Yawen Duan, Brian Tse, Jen-Tse Huang, Kun Wang, Baihui Zheng, Jiaheng Liu, Jian Yang, Yiming Li, Wenting Chen, Dongrui Liu, Lukas Vierling, Zhiheng Xi, Haobo Fu, Wenxuan Wang, Jitao Sang, Zhengyan Shi, Chi-Min Chan, Eugenie Shi, Simin Li, Juncheng Li, Jian Yang, Wei Ji, Dong Li, Jinglin Yang, Jun Song, Yinpeng Dong, Jie Fu, Bo Zheng, Min Yang, Yike Guo, Philip Torr, Robert Trager, Yi Zeng, Zhongyuan Wang, Yaodong Yang, Tiejun Huang, Ya-Qin Zhang, Hongjiang Zhang, Andrew Yao

CoRR, November, 2025

SafeMT: Multi-turn Safety for Multimodal Language Models.

Han Zhu, Juntao Dai, Jiaming Ji, Haoran Li, Chengkun Cai, Pengcheng Wen, Chi-Min Chan, Boyuan Chen, Yaodong Yang, Sirui Han, Yike Guo

CoRR, October, 2025

On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations.

Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Weifeng Lv, Simin Li

CoRR, October, 2025

ReDMan: reliable dexterous manipulation with safe reinforcement learning.

Yiran Geng, Jiaming Ji, Yuanpei Chen, Haoran Geng, Fangwei Zhong, Yaodong Yang

Mach. Learn., August, 2025

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications.

Wenxuan Wang, Zizhan Ma, Meidan Ding, Shiyi Zheng, Shengyuan Liu, Jie Liu, Jiaming Ji, Wenting Chen, Xiang Li, Linlin Shen, Yixuan Yuan

CoRR, August, 2025

A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs.

Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, Jiaming Ji, Yaodong Yang, Juntao Dai

CoRR, June, 2025

SafeLawBench: Towards Safe Alignment of Large Language Models.

Chuxue Cao, Han Zhu, Jiaming Ji, Qichao Sun, Zhenghao Zhu, Yinyu Wu, Juntao Dai, Yaodong Yang, Sirui Han, Yike Guo

CoRR, June, 2025

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback.

Boyuan Chen, Donghai Hong, Jiaming Ji, Jiacheng Zheng, Bowen Dong, Jiayi Zhou, Kaile Wang, Juntao Dai, Xuyao Wang, Wenqi Chen, Qirui Zheng, Wenxin Li, Sirui Han, Yike Guo, Yaodong Yang

CoRR, May, 2025

The Mirage of Multimodality: Where Truth is Tested and Honesty Unravels.

Jiaming Ji, Sitong Fang, Wenjing Cao, Jiahao Li, Xuyao Wang, Juntao Dai, Chi-Min Chan, Sirui Han, Yike Guo, Yaodong Yang

CoRR, May, 2025

Mitigating Deceptive Alignment via Self-Monitoring.

Jiaming Ji, Wenqi Chen, Kaile Wang, Donghai Hong, Sitong Fang, Boyuan Chen, Jiayi Zhou, Juntao Dai, Sirui Han, Yike Guo, Yaodong Yang

CoRR, May, 2025

Generative RLHF-V: Learning Principles from Multi-modal Human Preference.

Jiayi Zhou, Jiaming Ji, Boyuan Chen, Jiapeng Sun, Wenqi Chen, Donghai Hong, Sirui Han, Yike Guo, Yaodong Yang

CoRR, May, 2025

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge.

Chi-Min Chan, Chunpu Xu, Jiaming Ji, Zhen Ye, Pengcheng Wen, Chunyang Jiang, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo

CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Benchmarking Multi-National Value Alignment for Large Language Models.

Weijie Shi, Chengyi Ju, Chengzhong Liu, Jiaming Ji, Jipeng Zhang, Ruiyuan Zhang, Jia Zhu, Jiajie Xu, Yaodong Yang, Sirui Han, Yike Guo

CoRR, April, 2025

Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models.

Jiaming Ji, Xinyu Chen, Rui Pan, Han Zhu, Conghui Zhang, Jiahao Li, Donghai Hong, Boyuan Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Chi-Min Chan, Sirui Han, Yike Guo, Yaodong Yang

CoRR, March, 2025

ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs.

Pengcheng Wen, Jiaming Ji, Chi-Min Chan, Juntao Dai, Donghai Hong, Yaodong Yang, Sirui Han, Yike Guo

CoRR, March, 2025

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Safe Reinforcement Learning.

Borong Zhang, Yuhao Zhang, Jiaming Ji, Yingshan Lei, Josef Dai, Yuanpei Chen, Yaodong Yang

CoRR, March, 2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang

CoRR, January, 2025

SAE-V: Interpreting Multimodal Models for Enhanced Alignment.

Hantao Lou, Changye Li, Jiaming Ji, Yaodong Yang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Wenxuan Wang, Zizhan Ma, Zheng Wang, Chenghan Wu, Jiaming Ji, Wenting Chen, Xiang Li, Yixuan Yuan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning.

Weijie Shi, Han Zhu, Jiaming Ji, Mengze Li, Jipeng Zhang, Ruiyuan Zhang, Jia Zhu, Jiajie Xu, Sirui Han, Yike Guo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reward Generalization in RLHF: A Topological Perspective.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Benchmarking Multi-National Value Alignment for Large Language Models.

Chengyi Ju, Weijie Shi, Chengzhong Liu, Jiaming Ji, Jipeng Zhang, Ruiyuan Zhang, Jiajie Xu, Yaodong Yang, Sirui Han, Yike Guo

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Language Models Resist Alignment: Evidence From Data Compression.

Jiaming Ji, Kaile Wang, Tianyi Alex Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Josef Dai, Yunhuai Liu, Yaodong Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Alex Qiu, Jiayi Zhou, Kaile Wang, Boxun Li, Sirui Han, Yike Guo, Yaodong Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA.

Chi-Min Chan, Chunpu Xu, Junqi Zhu, Jiaming Ji, Donghai Hong, Pengcheng Wen, Chunyang Jiang, Zhen Ye, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SafeLawBench: Towards Safe Alignment of Large Language Models.

Chuxue Cao, Han Zhu, Jiaming Ji, Qichao Sun, Zhenghao Zhu, Yinyu Wu, Josef Dai, Yaodong Yang, Sirui Han, Yike Guo

Proceedings of the Findings of the Association for Computational Linguistics, 2025

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.

Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback.

Jiayi Zhou, Jiaming Ji, Josef Dai, Yaodong Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction.

Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Heterogeneous-Agent Reinforcement Learning.

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

J. Mach. Learn. Res., 2024

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

J. Mach. Learn. Res., 2024

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback.

Jiaming Ji, Jiayi Zhou, Hantao Lou, Boyuan Chen, Donghai Hong, Xuyao Wang, Wenqi Chen, Kaile Wang, Rui Pan, Jiahao Li, Mohan Wang, Josef Dai, Tianyi Qiu, Hua Xu, Dong Li, Weipeng Chen, Jun Song, Bo Zheng, Yaodong Yang

CoRR, 2024

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback.

Jiayi Zhou, Jiaming Ji, Juntao Dai, Yaodong Yang

CoRR, 2024

PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models.

Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang

CoRR, 2024

SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset.

Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang

CoRR, 2024

Language Models Resist Alignment.

Jiaming Ji, Kaile Wang, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Yaodong Yang

CoRR, 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

ProgressGym: Alignment with a Millennium of Moral Progress.

Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligner: Efficient Alignment by Learning to Correct.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset.

Juntao Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Safe RLHF: Safe Reinforcement Learning from Human Feedback.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SafeDreamer: Safe Reinforcement Learning with World Models.

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

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

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

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