Reinforcement learning

To be completed

Reinforcement learning is an approach for machine learning where an agent learns to take actions based on an environment from the concept of a reward.

Reinforcement learning - Wikipedia

The agent observes the world and learns to take actions to maximize a reward. This can be achieved by some form of exploration of the possible states.

Traditional examples of reinforcement learning include

• Grid world