Inverse Reinforcement Learning via Deep Gaussian Process.
Ming JinAndreas C. DamianouPieter AbbeelCostas J. SpanosPublished in: UAI (2017)
Keyphrases
- gaussian process
- bayesian nonparametric
- inverse reinforcement learning
- gaussian processes
- regression model
- bayesian framework
- latent variables
- approximate inference
- variational inference
- semi supervised
- model selection
- hyperparameters
- prior knowledge
- preference elicitation
- reward function
- cross validation
- multi task learning
- random variables
- probabilistic model