UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.
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 ...
Abstract: This letter presents a novel framework for deploying transfer learning (TL) at the network edge using field-programmable gate array (FPGA) partial reconfiguration. While deep learning (DL) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results