Capture the Flag: the emergence of complex cooperative agents
&gt;&gt; The agents are never told anything about the rules of the game, yet learn
about fundamental game concepts and effectively develop an intuition for CTF.<p>Here we go again- throwing around big words, &quot;intuition&quot;, and marring an
otherwise interesting piece of work.<p>From a cursory glance at the relevant figure, &quot;A look into how our agents
represent the game world&quot; - it looks like what is being learned is very much a
goood old behaviour tree. For instance, the figure suggests that agents
learned to react to situations like &quot;Agent flag at base &amp; opponent flag at
base &amp; not respawning &amp; agent in home base&quot;. So basically, the condition part
of an IF-THEN-ELSE rule.<p>Why is this called an &quot;intuition&quot; rather than a &quot;rule&quot;? From my reading, the
only reason is that it was learned by a deep neural net by reinforcement
learning without explicit supervision, i.e. without anyone telling the agent
&quot;learn this rule&quot;.<p>That&#x27;s a very narrow, procrustean, definition of intuition. Is it really what
most people would mean by &quot;intuition&quot;? Is it even close? Who knows- nobody can
tell what most people would mean by &quot;intuition&quot;. There&#x27;s a dictionary
definition, but chances are most people would not know it by heart. So it&#x27;s
very hard to even say &quot;that&#x27;s not what intuition means&quot;- one would just be
begging the question.<p>So why use such a vague term in an article like this, that is already pretty
impressive stuff? What do such meaningless claims add to the result? I don&#x27;t
get it.