Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
Abstract: Path planning is essential for autonomous underwater vehicles (AUVs) to perform tasks. Many existing single-objective path planning methods rely on prior knowledge of the underwater ...
Reproducible Code and Data for: "Price-responsive control using deep reinforcement learning for heating systems: Simulation and living lab experiment" This repository is used to train a ...
Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
このプロジェクトは、深層強化学習を使用してチェスをプレイするAIエージェントを訓練するためのフレームワークです。AlphaZeroスタイルのアルゴリズムを実装し、自己対戦を通じて学習します ...
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