Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lutkus, Paul"'
We consider the problem of safely exploring a static and unknown environment while learning valid control barrier functions (CBFs) from sensor data. Existing works either assume known environments, target specific dynamics models, or use a-priori val
Externí odkaz:
http://arxiv.org/abs/2409.12382
In this paper, we show that a hybrid approach to generative modeling via combining the decoder from an autoencoder together with an explicit generative model for the latent space is a promising method for producing images of particle trajectories in
Externí odkaz:
http://arxiv.org/abs/2204.02496
In this paper, we show that a hybrid approach to generative modeling via combining the decoder from an autoencoder together with an explicit generative model for the latent space is a promising method for producing images of particle trajectories in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95405bae3a97ac8e3d5ece0df3d1f0e8