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Found 10 papers, 0 papers with code
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
These strategies can be used as inspirations for developing autonomous driving algorithms or to create high-fidelity simulators.
Neural Network Adaptive Control with Long Short-Term Memory
We also provide an analysis of the contributions of the ANN controller and LSTM network to the control input, identifying their individual roles in compensating low and high-frequency error dynamics.
An Adaptive Pilot Model with Reaction Time-Delay
Practical adaptive control implementations where human pilots coexist in the loop are still uncommon, despite their success in handling uncertain dynamical systems.
Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes
This paper proposes a method for modeling human driver interactions that relies on multi-output gaussian processes.
Modeling, Control and Human-In-The-Loop Stability Analysis of an Elastic Quadrotor
This paper introduces an analytical framework for the derivation of hybrid equations of motion of a flexible quadrotor.
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory
In this paper, a synergistic combination of deep reinforcement learning and hierarchical game theory is proposed as a modeling framework for behavioral predictions of drivers in highway driving scenarios.
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with human-driven vehicles.
Robotics Systems and Control Systems and Control
Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory
Predicting the outcomes of cyber-physical systems with multiple human interactions is a challenging problem.
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts
In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection.
Game-Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems
Traffic simulators where these interactions can be modeled and represented with reasonable fidelity can help decrease the time and effort necessary for the development of the autonomous driving control algorithms by providing a venue where acceptable initial control calibrations can be achieved quickly and safely before actual road tests.
