Halfway between synthetic robotic environments, agent simulations and reality we have computer games: a good testbed scenario for artificial intelligences.
OpenAI is preparing the program that will control up to 5 agents against 5 human professional players in the complex game Dota2, a game in which the objective is to destroy and conquer the opponent team’s castle (link). OpenAI bot has already proven superiority against human players on the 1 versus 1 Dota2 with restricted play (link). The addressed multiplayer scenario is non-trivial and this is because when learning from inputs that include other’s agent behaviours we cannot guarantee the convergence of learning algorithms having to deal with non-stationary environments.
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