Policy Search

Optimizing continuous action sequences.

Modifying reward to accelerate learning.

Reward only given upon task completion.

Learning policies from expert demonstrations.

Rules and controls around generation (filters, validators, structured outputs) to reduce unsafe or invalid behavior.

RL without explicit dynamics model.

RL using learned or known environment models.

Predicts next state given current state and action.