Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space.
Shivansh BeoharFabian HeinrichRahul KalaHelge J. RitterAndrew MelnikPublished in: CoRR (2022)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- lower dimensional
- gaussian processes
- generative model
- parameter space
- dimensionality reduction
- manifold learning
- matrix factorization
- feature space
- distance metric
- gaussian process latent variable models
- high dimensional
- transfer learning
- probabilistic model
- probabilistic latent semantic analysis
- high dimensional data
- gaussian mixture
- principal component analysis
- feature extraction
- data sets
- missing data
- co occurrence
- higher dimensional
- high dimensional spaces
- bayesian networks