[R] A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

**Paper**: [https://arxiv.org/abs/2309.02473](https://arxiv.org/abs/2309.02473)

**Abstract**:

>In recent years, the development of robotics and artificial intelligence (AI) systems has been nothing short of remarkable. As these systems continue to evolve, they are being utilized in increasingly complex and unstructured environments, such as autonomous driving, aerial robotics, and natural language processing. As a consequence, programming their behaviors manually or defining their behavior through reward functions (as done in reinforcement learning (RL)) has become exceedingly difficult. This is because such environments require a high degree …

abstract aerial and natural language processing artificial artificial intelligence autonomous autonomous driving behavior development driving environments functions intelligence language language processing machinelearning natural natural language natural language processing nothing processing programming robotics systems through unstructured