Reinforcement learning for complex goals, using TensorFlow

Attention readers: We invite you to access the corresponding Python code and iPython notebooks for this article on GitHub. Reinforcement learning (RL) is about training agents to complete tasks. We typically think of this as being able to accomplish some goal. Take, for example, a robot we might want to train to open a door. Reinforcement learning can be used as a framework for teaching the robot to open the door by allowing it to learn from trial and error.