Multi-agent reinforcement learning

Another promising area making significant strides is multi-agent reinforcement learning. Contrary to the problems we've seen where only one agent makes decisions, this topic involves having multiple agents make decisions simultaneously and cooperatively in order to achieve a common objective. One of the most significant works related to this has been OpenAI's Dota2-playing system, called OpenAI Five. Dota2 is one of the world's most popular Massively Multiplayer Online Role Playing Game (MMORPGs). Compared to traditional RL games such as Go and Atari, Dota2 is more complex for the following reasons:

  • Multiple agents: Dota2 games involve two teams of five players, each fighting to destroy the other team's ...

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