In practice, retraining the policy to match the oracle will not match it perfectly in either case.
the baseline method has a further disadvantage: when it trains a policy, its training objective weights all gold or all non-gold examples equally, whereas LOLS invests greater effort in matching the oracle on those states where doing so would give greater downstream reward.