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06/10/2020
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Imitation learning is an approach for generating intelligent behavior wh...
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12/14/2019
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
The computational cost associated with simulating fluid flows can make i...
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02/26/2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
Koopman theory asserts that a nonlinear dynamical system can be mapped t...
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12/01/2018
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Data I/O poses a significant bottleneck in large-scale CFD simulations; ...
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05/18/2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
The design of flow control systems remains a challenge due to the nonlin...
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03/02/2018
Multi-Agent Imitation Learning for Driving Simulation
Simulation is an appealing option for validating the safety of autonomou...
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07/25/2017
Closed-Loop Policies for Operational Tests of Safety-Critical Systems
Manufacturers of safety-critical systems must make the case that their p...
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04/19/2017
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
In this work, we propose a method for learning driver models that accoun...
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01/24/2017
