Jinyi Liu

According to our database, Jinyi Liu authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

2024

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain.

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis.

Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng

CoRR, 2024

SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.

Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao

CoRR, 2024

Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models.

Jinyi Liu, Yifu Yuan, Jianye Hao, Fei Ni, Lingzhi Fu, Yibin Chen, Yan Zheng

CoRR, 2024

PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation.

Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, MingZhi Li, Yuzheng Zhuang, Yan Zheng

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

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement.

Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.

Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations.

Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback.

Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms.

Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning.

Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments.

Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning.

Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan

CoRR, 2023

Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration.

Kai Zhao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

CoRR, 2023

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach.

Shixi Lian, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

CoRR, 2023

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.

Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

ED2: An Environment Dynamics Decomposition Framework for World Model Construction.

Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun

CoRR, 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.

Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu

CoRR, 2021

FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning.

Shaohua Zhang, Shuang Liu, Jun Sun, Yuqi Chen, Wenzhi Huang, Jinyi Liu, Jian Liu, Jianye Hao

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021