Bayesian Deployment Approval for Learned Landing Controllers under Finite Rollout Validation

In three linesBayesian framework for validating deployment of learned autonomous landing controllers. Uses Bayesian inference to quantify uncertainty about true policy capability beyond empirical metrics (reward, success rate). Experiments with PPO and SAC show empirical optimization overconfidence, while Bayesian inference better calibrates deployment readiness assessment.

Summary generated by Claude — human-verified