In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

Results of the DQN-based agent are presented in fig: scenario comparison. Each plot depicts the average reward (across 5 seeds) of all representations methods. It can be seen that the NLP representation outperforms the other methods. NLP representations remain robust to changes in the environment as well as task-nuisances in the state.
Question: What result from experiments suggest that natural language based agents are more robust?
Average reward across 5 seeds show that NLP representations are robust to changes in the environment as well task-nuisances