research
∙
02/09/2023
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
Deriving robust control policies for realistic urban navigation scenario...
share
research
∙
11/30/2022
Investigation of Proper Orthogonal Decomposition for Echo State Networks
Echo State Networks (ESN) are a type of Recurrent Neural Networks that y...
research
∙
10/16/2021
Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments
Autonomous driving is a complex task, which has been tackled since the f...
research
∙
04/06/2021
Physics-Informed Neural Nets-based Control
Physics-informed neural networks (PINNs) impose known physical laws into...
research
∙
06/02/2017
