RA-L2 Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning https://arxiv.org/abs/2008.07971 Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning Autonomous car racing is a major challenge in robotics. It raises fundamental problems for classical approaches such as planning minimum-time trajectories under uncertain dynamics and controlling the car at the limits of its handling. Besides, the requirem arxiv.org Introduction 1. [B.. 2024. 2. 4. Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN) https://ieeexplore.ieee.org/abstract/document/9653809 Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN) Symbolic reasoning is a key component for enabling practical use of data-driven planners in autonomous driving. In that context, deterministic finite state automata (DFA) are often used to formalize the underlying high-level decision-making process. Manu.. 2024. 1. 16. 이전 1 다음
