OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
Abstract: The advancement of the autonomy level of surgical robots is linked to the improvement in the learning of trajectories made by expert surgeons when performing simple procedures. An initial ...
Abstract: This paper proposes a continuous path planning method, where Deep Q-network (DQN) is employed for initial grid map path planning, followed by the enhanced Douglas-Peucker (DP) algorithm to ...
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