Model-Free Stochastic Reachability Using Kernel Distribution Embeddings.
Adam J. ThorpeMeeko M. K. OishiPublished in: CoRR (2019)
Keyphrases
- model free
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- state space
- temporal difference
- vector space
- support vector
- kernel function
- policy iteration
- kernel methods
- policy evaluation
- manifold learning
- decision trees
- confidence intervals
- machine learning
- feature space
- learning algorithm