Yixing Lan

Orcid: 0000-0003-4503-643X

According to our database1, Yixing Lan authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models.
CoRR, December, 2025

Game-Theoretic Constrained Policy Optimization for Safe Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

SMART: Sequential Multiagent Reinforcement Learning With Role Assignment Using Transformer.
IEEE Trans. Cogn. Dev. Syst., June, 2025

A Survey on Reinforcement Learning for Optimal Decision-Making and Control of Intelligent Vehicles.
CAAI Trans. Intell. Technol., 2025

Learning Predictive Control with Online Modeling for Agile Maneuvering of Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Skill Expansion and Composition in Parameter Space.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Deep reinforcement learning using least-squares truncated temporal-difference.
CAAI Trans. Intell. Technol., 2024

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Efficient reinforcement learning with least-squares soft Bellman residual for robotic grasping.
Robotics Auton. Syst., June, 2023

2022
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.
Knowl. Based Syst., 2022

2021
Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction.
Comput. Intell. Neurosci., 2021

Data-efficient Deep Reinforcement Learning Method Toward Scaling Continuous Robotic Task with Sparse Rewards.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021


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