lysis is carried out by the method <a href="https://gorkamunoz.github.io/rl_opts/lib_nbs/learning_and_benchmark.html#walk_from_policy"><code>walk_from_policy</code></a>, which inputs a policy (that is not changing) and runs the walks in parallel. It outputs a list with the efficiency achieved in each walk.</p>
<p>You can find the results of, for example, the last episode, in the file ‘performance_post_training_agent_0_episode_500.npy’.</p>
<p>To get an array with the average performances (over the numbe