most citedTwo-stage short-term wind power forecasting algorithm using different feature-learning models

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cs.MA2026

Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback

Pengcheng Dai, He Wang, Dongming Wang +2

We study a networked multi-agent reinforcement learning (NMARL) problem with human feedback in an infinite-horizon setting, where agents interact over an underlying network with lo…