IEEE

An adaptive density clustering algorithm based on measurement parameters and representative points

Abstract: DBSCAN clustering algorithm (Density-based spatial clustering of applications with noise) is a density-based spatial clustering algorithm with noise. Due to its insensitivity to noise and ...
IEEE

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees

Abstract: While achieving tremendous success in various fields, existing multi-agent reinforcement learning (MARL) with a black-box neural network makes decisions in an opaque manner that hinders ...