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Multi-Fidelity Recursive Behavior Prediction
Predicting the behavior of surrounding vehicles is a critical problem in automated driving.
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty
It is shown that upper confidence bound (UCB) for expanding the tree results in noisy Q-value estimates by the MCTS and a degraded performance of QMDP.
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