Reinforcement Learning¶

3 domain-specific abstractions whose origin domain is Reinforcement Learning.

Automatic basis function construction — Learning task-reusable basis functions that compress a large state space for value-function approximation.
Model-Free Reinforcement Learning — Reinforcement learning that improves a policy or value estimate directly from sampled interaction without first learning an explicit transition-and-reward model for planning.
Proto-value function — A task-independent spectral basis function learned from a state-transition graph to approximate value functions in reinforcement learning.