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Contingency Games for Multi-Agent Interaction
How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off
Data-driven Abstractions for Verification of Linear Systems
Abstracting the Traffic of Nonlinear Event-Triggered Control Systems
Adaptive Prescribed Performance Asymptotic Tracking for High-Order Odd-Rational-Power Nonlinear Systems
Promises of Deep Kernel Learning for Control Synthesis
Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal Trajectory Predictions
Learning to Pick at Non-Zero-Velocity from Interactive Demonstrations
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention
A human-like steering model: Sensitive to uncertainty in the environment
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