A red-team multi-agent reinforcement learning framework increased a simulated AV's collision rate from 5% to 85% by training background vehicles to interfere with its emergency braking decisions.
Diversifying latent flows for safety-critical scenarios generation,
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Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario
A red-team multi-agent reinforcement learning framework increased a simulated AV's collision rate from 5% to 85% by training background vehicles to interfere with its emergency braking decisions.