Reward Shaping

Reward only given upon task completion.

Learning policies from expert demonstrations.

Learning action mapping directly from demonstrations.

Inferring reward function from observed behavior.

RL using learned or known environment models.

Predicts next state given current state and action.

Directly optimizing control policies.

Optimizing continuous action sequences.