Safe reinforcement learningData-based learning controlUniformly ultimate bounded stabilityInterception missionThis paper aims to develop a safe learning scheme of the USV interception mission. A safe Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for the USV interception...
【简读】Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces ZehaoDou 窦泽皓 耶鲁大学 统计学博士在读24 人赞同了该文章 20210810 第22篇 arxiv.org/pdf/2108.03952.pdf 本文属于多智能体强化学习方向,标题中提到的 safe RL与之前的简读中的有所不同,之前的 safe RL...
OmniSafe是北京大学杨耀东团队正在开发和维护的Safe Reinforcement Learning(安全强化学习)开源库,旨在为Safe RL的community提供便于安装,易于上手,容易理解,表现鲁棒,功能完备,高度可定制并且长期维护的算法与环境库。 关于Safe RL 近年来,RL(强化学习)算法,特别是DeepRL算法在许多任务中都取得了很好的表现。比如:在Atari...
通过阅读2022年发表在ICML上的论文《Constrained Variational Policy Optimization for Safe Reinforcement Learning》,并简要做一下阅读笔记。这篇文章将强化学习问题转换为变分推断的思想进行求解,之前写过类似的博文,如RL——Deep Reinforcement Learning amidst Continual/Lifelong Structured Non-Stationarity,思路都是一样的...
论文题目:Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control 在线看:https://ieeexplore.ieee.org/abstract/document/9797658 阅读笔记是 量子速读法 的产物,只能起辅助阅读的功效,无法替代论文原文。 关于论文: motivation:减少 RL 试错过程中的 unsafe behavior。 基本...
Deep reinforcement learning (RL) has shown promising results in the motion planning of manipulators. However, no method guarantees the safety of highly dynamic obstacles, such as humans, in RL-based manipulator control. This lack of formal safety assurances prevents the application of RL for manipul...
To this end, we consider a value-based and policy-gradient Deep Reinforcement Learning (DRL) and we propose a crossover-based strategy that combines gradient-based and gradient-free DRL to improve sample-efficiency. Moreover, we propose a verification strategy based on interval analysis that ...
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks Progressing towards a new era of Artificial Intelligence (AI) - enabled wireless networks, concerns regarding the environmental impact of AI have been raised both in industry and academia...
Real-time automatic control of multi-energy system for smart district community: A coupling ensemble prediction model and safe deep reinforcement learning... TM Alabi,L Lu,Z Yang - 《Energy》 被引量: 0发表: 0年 Waterflooding using closed-loop control To fully exploit the possibilities of "sma...
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