Multi-Agent RL

In reinforcement learning, an &ldquo;agent&rdquo; is an entity which can observe the world and take actions. Multi-agent setups have multiple agents observing and taking actions. The interplay between them is very interesting, but this also introduces some complexity. &#xA; Before talking about multiagent setups it&rsquo;s worth a note about two other RL algorithms. &#xA; Proximal Policy…