Imitation learning is a type of machine learning where an agent learns to perform tasks by observing and mimicking human actions. This approach is particularly useful in scenarios where it’s challenging to define explicit reward functions. Imitation learning encompasses techniques such as behavior cloning and inverse reinforcement learning, helping agents to acquire skills effectively.