Definition
Behavior cloning (BC) is the simplest approach to imitation learning. A neural network is trained to map observations directly to actions using supervised learning on a dataset of expert demonstrations. While straightforward to implement, BC can suffer from compounding errors during execution because the agent encounters states not seen during training. Techniques like DAgger (Dataset Aggregation) address this by iteratively collecting corrective labels. BC remains a strong baseline in robot manipulation and is often the first method teams try when evaluating new hardware or datasets.
Why It Matters for Robot Teams
Understanding behavior cloning is essential for teams building real-world robot systems. Whether you are collecting demonstration data, training policies in simulation, or deploying in production, this concept directly affects your workflow and system design.