Robust Training
Closed-loop Weighted Empirical Risk Minimization
Introduced by Kumar et al. in CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk MinimizationA closed-loop evaluation procedure is first used in a simulator to identify training data samples that are important for practical driving performance and then we these samples to help debias the policy network.
Source: CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk MinimizationPapers
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