Jinyi Liu
Orcid: 0000-0002-4537-348XAffiliations:
- Tianjin University, College of Intelligence and Computing, China
According to our database1,
Jinyi Liu
authored at least 19 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis.
CoRR, 2024
SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models.
CoRR, 2024
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models.
CoRR, 2024
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation.
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.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
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.
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.
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.
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.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning.
CoRR, 2023
Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration.
CoRR, 2023
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach.
CoRR, 2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2021
CoRR, 2021
FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021