Deep reinforcement learning demystified

Deep reinforcement learning is one of the most interesting branches of artificial intelligence. It is behind some of the remarkable achievements of the AI community, including beating human champions at board and video games, self-driving cars, and robotics.

Deep reinforcement learning leverages the learning capacity of deep neural networks to tackle problems that were too complex for traditional RL techniques. Deep reinforcement learning is much more complicated than the other branches of machine learning.

In my latest column, I tried to demystify deep reinforcement learning without going too much into the technical details.

Read the full article on TechTalks.

For more on reinforcement learning:

• Is DeepMind’s new reinforcement learning system a step toward general AI?

• DeepMind scientists: Reinforcement learning is enough for general AI

• Reinforcement learning challenge to push boundaries of embodied AI

• Reinforcement learning helped robots solve Rubik’s Cube