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pro vyhledávání: '"Evans, Benjamin David"'
Autor:
Evans, Benjamin David, Trumpp, Raphael, Caccamo, Marco, Jahncke, Felix, Betz, Johannes, Jordaan, Hendrik Willem, Engelbrecht, Herman Arnold
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path pl
Externí odkaz:
http://arxiv.org/abs/2402.18558
Map-based methods for autonomous racing estimate the vehicle's location, which is used to follow a high-level plan. While map-based optimisation methods demonstrate high-performance results, they are limited by requiring a map of the environment. In
Externí odkaz:
http://arxiv.org/abs/2401.17732
The classical method of autonomous racing uses real-time localisation to follow a precalculated optimal trajectory. In contrast, end-to-end deep reinforcement learning (DRL) can train agents to race using only raw LiDAR scans. While classical methods
Externí odkaz:
http://arxiv.org/abs/2306.07003
Autor:
Evans, Benjamin David, Betz, Johannes, Zheng, Hongrui, Engelbrecht, Herman A., Mangharam, Rahul, Jordaan, Hendrik W.
Deep reinforcement learning (DRL) is a promising method to learn control policies for robots only from demonstration and experience. To cover the whole dynamic behaviour of the robot, DRL training is an active exploration process typically performed
Externí odkaz:
http://arxiv.org/abs/2209.11082
Publikováno v:
In Machine Learning with Applications 15 December 2023 14
