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04/25/2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Acquiring driving policies that can transfer to unseen environments is c...
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09/22/2021
Domain Generalization for Vision-based Driving Trajectory Generation
One of the challenges in vision-based driving trajectory generation is d...
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09/16/2021
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation
Safety is of great importance in multi-robot navigation problems. In thi...
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10/20/2020
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
One of the challenges to reduce the gap between the machine and the huma...
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05/08/2020
Learning hierarchical behavior and motion planning for autonomous driving
Learning-based driving solution, a new branch for autonomous driving, is...
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09/23/2019
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
Physics-informed neural networks (PINNs) encode physical conservation la...
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05/03/2019
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
One of the open problems in scientific computing is the long-time integr...
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11/05/2018
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
We developed a new class of physics-informed generative adversarial netw...
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09/21/2018
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
Physics-informed neural networks (PINNs) have recently emerged as an alt...
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09/26/2017
