Peide Huang
Orcid: 0000-0002-1048-8690
According to our database1,
Peide Huang
authored at least 18 papers
between 2021 and 2024.
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Bibliography
2024
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories.
CoRR, 2024
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Construction of Virtual Simulation Teaching Platform for Risk Experimental Projects in VR Environment.
Proceedings of the 2024 7th International Conference on Software Engineering and Information Management, 2024
2023
CoRR, 2023
GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Characterizing Crowd Preferences on Stadium Facilities through Dynamic Inverse Reinforcement Learning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the Conference on Robot Learning, 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.
CoRR, 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling.
CoRR, 2021