Model other agents in simulation

Q: Model other agents in simulation

This is a ML System Design interview question from Tesla for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

Scenario

You are building a driving simulation environment for training/evaluating an autonomous agent (planning or RL). Besides the ego vehicle, the simulator must include other traffic participants (“agents”) such as cars, pedestrians, cyclists.

Question

How would you model the behavior of other agents in simulation so that ego training is realistic and robust?
What are the main approaches (e.g., log replay, rule-based, learned policies), and what are the tradeoffs in realism, controllability, safety, and distribution shift ?
How would you validate that your agent-modeling strategy is “good enough” for downstream training and evaluation?

Model other agents in simulation

Scenario

Question

Solution

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