Computationally efficient, machine learning-based approach to identify failure cases for autonomous vehicle validation

A system, comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processing being configured to execute instructions to cause the system to:
• generate a simulation environment for testing or validating a vehicle, wherein when generating the simulation environment, the processor is configured to perform at least one of:
• impose a runtime constraint on simulation properties of the simulation environment.

A system, comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processing being configured to execute instructions to cause the system to:
• generate a simulation environment for testing or validating an autonomous vehicle, wherein when generating the simulation environment, the processor is configured to perform at least one of:
• use machine-learning to sample a subset of scenarios from a group of possible scenarios to test.