DeepMind has taught AI to play a customised version of Quake III Arena, and it managed to achieve “human-level performance.”
After creating an AI that managed to beat the world’s best Go player, DeepMind is now looking towards video games. The research firm has taught AI to play a customised version of Quake III Arena. In its official blog, it was noted that the AI was made to play the game variant, Capture the Flag, and it managed to achieve “human-level performance.”
Instead of training individually, DeepMind trained a number of agents to play with, and against each other. Further, the matches were played on a procedurally generated maps, that changed from match to match. The agents will have to learn from the ground up on how to see, act, cooperate and compete in unseen environments.
Each of the agents learn their own internal reward signal. This allows each of hem to develop their own goals. The agents operate at two timescales, fast and slow and DeepMind says that this improves their ability to use memory and generate consistent action sequences.
The resulting agent was dubbed For The Win (FTW) agent, and DeepMind notes that it learned to play CTF to a very high standard. DeepMind ran a tournament including 40 human players, in which humans and agents were randomly matched up in games. It notes that FTW agents exceed the win-rate of human players. Further, a survey among the participants rated the agents as being more collaborative than humans.
DeepMind notes that that the agents would work in complex games such as StarCraft 2 and even Dota 2. Speaking of Dota 2, Another AI research firm, OpenAI has created a team of five neural networks to compete against humans in 5v5 matches. The team is called OpenAI Five and it will be challenging some of the worlds best Dota 2 teams at The International. The tournament is scheduled to be held in August, and offers a total prize pool of nearly $40 million, which is more than any other e-sport.
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