Haoyi Niu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Are Expressive Models Truly Necessary for Offline RL?

[BibT_eX]

[DOI]

CoRR, 2024

xTED: Cross-Domain Policy Adaptation via Diffusion-Based Trajectory Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Objective Trajectory Planning with Dual-Encoder.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents.

[BibT_eX]

[DOI]

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

Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning.

[BibT_eX]

[DOI]

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

2023

Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps.

[BibT_eX]

[DOI]

CoRR, 2023

(Re)<sup>2</sup>H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Objective fuzzy flexible jobshop of dynamic scheduling optimization based on hybrid-nondominanted sorting algorithm.

[BibT_eX]

[DOI]

Wei Shen

WeiMin Wu

HaoYi Niu

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Discriminator-Guided Model-Based Offline Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2021

Battery Charge Dispatching in Multi-robot Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

A new flexible multi-AGVs scheduling model with pre-waiting time in an intelligent manufacturing system.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

A novel hierarchical charging algorithm for the AGV dispatching problem in a multi-robot system.

[BibT_eX]

[DOI]

Haoyi Niu

Weimin Wu

Tao Zhang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

Tactical Decision Making for Emergency Vehicles based on a Combinational Learning Method.

[BibT_eX]

[DOI]

Haoyi Niu

Jianming Hu

CoRR, 2020

Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Une application de classification vidéo en mécanique des fluides diphasiques oscillatoires.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2020

Haoyi Niu

Bibliography

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