3 papers
cs.RO2025
Accelerating Real-World Overtaking in F1TENTH Racing Employing Reinforcement Learning Methods
Emily Steiner, Daniel van der Spuy, Futian Zhou +3
While autonomous racing performance in Time-Trial scenarios has seen significant progress and development, autonomous wheel-to-wheel racing and overtaking are still severely limite…
cs.CV2025
OrchardDepth: Precise Metric Depth Estimation of Orchard Scene from Monocular Camera Images
Zhichao Zheng, Henry Williams, Bruce A MacDonald
Monocular depth estimation is a rudimentary task in robotic perception. Recently, with the development of more accurate and robust neural network models and different types of data…
cs.LG2025
Reward Prediction Error Prioritisation in Experience Replay: The RPE-PER Method
Hoda Yamani, Yuning Xing, Lee Violet C. Ong +2
Reinforcement Learning algorithms aim to learn optimal control strategies through iterative interactions with an environment. A critical element in this process is the experience r…