Haoyi Niu

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

Bibliography

2024
Multi-Objective Trajectory Planning with Dual-Encoder.
CoRR, 2024

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning.
CoRR, 2024

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents.
CoRR, 2024

2023
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving.
CoRR, 2023

Continual Driving Policy Optimization with Closed-Loop Individualized Curricula.
CoRR, 2023

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps.
CoRR, 2023

(Re)<sup>2</sup>H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning.
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.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Discriminator-Guided Model-Based Offline Imitation Learning.
Proceedings of the Conference on Robot Learning, 2022

2021
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving.
CoRR, 2021

Battery Charge Dispatching in Multi-robot Systems.
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.
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.
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.
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.
CoRR, 2020

Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Une application de classification vidéo en mécanique des fluides diphasiques oscillatoires.
Proceedings of the Extraction et Gestion des Connaissances, 2020


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