Question: How better does new approach behave than existing solutions?
Answer:  On the other hand, phase 1 of Go-Explore finds an optimal trajectory with approximately half the interactions with the environment, Moreover, the trajectory length found by Go-Explore is always optimal (i.e. 30 steps) whereas both DQN++ and DRQN++ have an average length of 38 and 42 respectively., Especially interesting is that the performance of DRRN is substantially lower than that of the Go-Explore Seq2Seq model
Alternative answer: On Coin Collector, proposed model finds shorter path in fewer number of interactions with enironment.
On Cooking World, proposed model uses smallest amount of steps and on average has bigger score and number of wins by significant margin.