Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the number of applications and methods. Recent works have explored learning beyond single-agent scenarios and have considered multiagent learning (MAL) scenarios. The primary goal of this article is to provide a clear overview of current multiagent deep reinforcement learning (MDRL) literature.
|Date made available||1 Jan 2020|
|Publisher||Underline Science Inc.|