IEEE

Decision Trees in Federated Learning: Current State and Future Opportunities

Abstract: Federated learning (FL) is a distributed machine learning technique that enables multiple decentralized clients to develop a model collaboratively without exchanging their local data.
The CPA Journal

Automating Data Analysis with Python Dashboards

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
C&EN

A Study on the Decision Tree Approach for Predicting EO/EG Facility Leakage and Diffusion Hazards

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
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 ...
GitHub

LLM-PySC2 - LLM StarCraft II Learning Environment

LLM-PySC2 is NKU Robot Autonomy and Human-AI Collaboration Group and NUDT Laboratory for Big Data and Decision's Python component of the StarCraft II LLM Decision Environment. It wraps Deepmind's ...