Train neural networks to play video games, control AI agents and approach unsupervised learning problems using Python, Tensorflow and OpenAI Gym. The workshop is conceived to maximize the learning ...
Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...
Behavioral psychologists have long used mazes to study memory and learning; their subjects, mostly rats and mice. Now researchers are beginning to use the same approach to test an entirely new kind of ...
When it comes to machine learning, every performance gain is worth a bit of celebration. That's particularly true for Google's DeepMind division, which has already proven itself by beating a Go world ...
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