Learning to jump in granular media: Unifying optimal control synthesis with Gaussian process-based regression.
Alexander H. ChangChristian M. HubickiJeff J. AguilarDaniel I. GoldmanAaron D. AmesPatricio A. VelaPublished in: ICRA (2017)
Keyphrases
- optimal control
- gaussian process
- gaussian processes
- reinforcement learning
- gaussian process regression
- regression model
- learning process
- learning algorithm
- learning tasks
- learning problems
- covariance function
- latent variables
- bayesian framework
- model selection
- probability distribution
- dynamic programming
- active learning
- optimal control problems