ICRA2 Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning https://arxiv.org/abs/2103.14666 Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning Professional race-car drivers can execute extreme overtaking maneuvers. However, existing algorithms for autonomous overtaking either rely on simplified assumptions about the vehicle dynamics or try to solve expensive trajectory-optimization problems onlin arxiv.org Introduction 1.. 2024. 2. 17. Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing https://arxiv.org/abs/2103.04909 Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing World models learn behaviors in a latent imagination space to enhance the sample-efficiency of deep reinforcement learning (RL) algorithms. While learning world models for high-dimensional observations (e.g., pixel inputs) has become practicable on standar arxiv.org Introduction 2020 ICLR에서 발표.. 2024. 2. 3. 이전 1 다음
