Question: In the optimization verification check, when should you conclude that the reinforcement learning method itself needs improvement rather than the reward signal?

Sample answer: You should focus on improving the reinforcement learning method when the trajectory produced by the human or expert is rewarded more highly than the trajectory produced by the agent.

Key points:

• Compare the expert and agent trajectories
• The expert trajectory receives the higher reward
• This suggests the reward definition is probably acceptable, but the optimizer is not finding the better behavior

Rubric: The response must state that the expert and agent trajectories are compared and that the expert trajectory gets the higher reward.