Training
- Optimal Learning Trajectories: Some algorithms assume that the Optimal Learning Trajectories (OLTs) are known for all learning examples. An OLT is a sequence of actions that, given an input, leads from the initial state to the correct output.
- Optimal Learning Policy: Some algorithms assume that for each learning example, we know an Optimal Learning Policy (OLP). The OLP is a procedure that knows the best decision to perform for any state of the prediction space.