Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those ...
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 ...
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