e -or replenishable- targets, which we implement by displacing the agent a distance <span class="math inline">\(l_\textrm{c}\)</span> from the center of the found target.</p>
<p>As for the agent, we use Projective Simulation (PS) to model its decision making process and learning method. However, other algorithms that work with stochastic policies can also be used.</p>
<p>First, we import the classes that define the environment (<a href="https://gorkamunoz.github.io/rl_opts/lib_nbs/environments_numba.html#ta