Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning 来自 arXiv.org 喜欢 0 阅读量: 147 作者:RB Diddigi,SKR Danda,PK J.,S Bhatnagar 摘要: In cooperative stochastic games multiple agents work towards
lec-6-Actor-Critic Algorithms 从PG→Policy evaluation 更多样本的均值+Causality+Baseline 减少variance 只要拟合估计Q、V:这需要两个网络 Value function fitting(即策略评估) 近似: MC evaluation 一种更好的方法:自举 从evaluation→AC 拟合V进行评估,提升policy ...
展开 关键词: OBJECT recognition (Computer vision) ENERGY consumption DETECTORS ALGORITHMS COST effectiveness MAXIMUM power point trackers DOI: 10.12305/j.issn.1001-506X.2023.06.05 年份: 2023 收藏 引用 批量引用 报错 分享 全部来源 求助全文 EBSCO 来源...
In reinforcement learning, the learning algorithms frequently have to deal with both continuous state and continuous action spaces to control accurately. In this paper, the great capacity of kernel method for handling continuous state space problems and the advantage of actor-critic method in dealing ...
Our effort is toward unifying GAN and DRL algorithms into a unifying AI model (AGI or general-purpose AI or artificial general intelligence which has general-purpose applications to: (A) offline learning (of stored data) like GAN in (un/semi-/fully-)SL setting such as big data analytics (...
In this paper an image-based visual servoing algo-rithm (IBVS) is used to achieve tracking of a moving object. Our objective is to investigate the use of reinforcement learning (RL) algorithms such as an adaptive critic to increase the overall performance. The IBVS is designed to drive the ...
We explore deep reinforcement learning methods for multi-agent domains. We begin by analyzing the difficulty of traditional algorithms in the multi-agent case: Q-learning is challenged by an inherent non-stationarity of the environment, while policy gradient suffers from a variance that increases as...
Optimization of parameterized policies for reinforcement learning (RL) is an important and challenging problem in artificial intelligence. Among the most common approaches are algorithms based on gradient ascent of a score function representing discounted return. In this paper, we examine the role of th...
展开 关键词: Equations Feedforward neural networks Heuristic algorithms Mathematical model Nonlinear dynamical systems Standards Trajectory Actor–critic algorithm Actor-critic algorithm discrete-time (DT) nonlinear optimal tracking input constraints neural network (NN) reinforcement learning (RL) DOI...
关键词: Games Heuristic algorithms Nash equilibrium Graphics Artificial neural networks Synchronization Learning (artificial intelligence) 会议名称: 2020 39th Chinese Control Conference (CCC) 会议时间: 2020/07/01 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 IEEEXplore (全网免费下载) IEEE...