Driving Behavior for ADAS and Autonomous Driving V

•An Auto-tuning Framework for AVs

•Adaptive Behavior Generation for AD using Deep RL with Compact Semantic States

•Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse RL

•Zero-shot Deep RL Driving Policy Transfer for AVs based on Robust Control

•Risk-averse Behavior Planning for AD under Uncertainty

•Multimodal Trajectory Predictions for AD using Deep Convolutional Networks

•Exploring the Limitations of Behavior Cloning for AD