pre></div>
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<p>Note: in the code, the policies are always given as <span class="math inline">\(\pi(\uparrow|n)\)</span>.</p>
<p>Fig. 3 and Fig. 4 show the policies of the agents at the end of a training consisting of 12000 episodes of 20000 RL steps each. The policies can be retrieved with <code>[`get_policy`](https://gorkamunoz.github.io/rl_opts/lib_nbs/utils.html#get_policy)</code> as detailed above, by setting <code>training_episode = 12000</code> and the corresponding agent identifier.</p>
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