Abstract: Achieving precise trajectory tracking for autonomous mobile robots in complex and dynamic environments poses a demanding challenge. In this study, we propose an innovative approach for the ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results