Definition
The combination of deep neural networks with reinforcement learning to create agents that learn complex, optimal control policies directly from high-dimensional sensory input through interaction.
In short: The combination of deep neural networks with reinforcement learning to create agents that learn complex, optimal control policies directly from high-dimensional sensory input through interaction.