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Google’s DeepMind AI has learned to play a game called ant soccer

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Daniel Patel
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Google s DeepMind artificial intelligence AI technology has proven to be very smart.

DeepMind s AlphaGo system got worldwide attention for beating top-ranked Go player Lee Sedol earlier this year.

We have also built a massively distributed deep RL reinforcement learning system, known as Gorila, that utilizes the Google Cloud platform to speed up training time by an order of magnitude; this system has been applied to recommender systems within Google, Google DeepMind s David Silver wrote in a blog post today.Reinforcement learning generally involves trial and error learning.

Google DeepMind combines this method with deep learning, which implies training artificial neural networks on lots of data and getting them to make inferences on new data.In today s blog post Silver described some of the lab s most recent research.

We have also developed a number of deep RL methods for continuous control problems such as robotic manipulation and locomotion, he wrote.

Our Deterministic Policy Gradients algorithm DPG provides a continuous analogue to DQN, exploiting the differentiability of the Q-network to solve a wide variety of continuous control tasks.

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Daniel Patel
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