Pareto-Q learning algorithm for cooperative agents in general-sum games[A].Beilin:Springer-Verlag 2005.Song M, Gu G, Zhang G. Pareto-𝑄 learning algorithm for cooperative agents in general-sum games[C]. Proc of CEEMAS2005, LNAI 3690. Berlin: Springer, 2005: 576- 578....
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies In this paper, we propose a novel MORL algorithm, named Pareto Q-learning (PQL). To the best of our knowledge, this is the first temporal difference-based multi-policy MORL algorithm that does not use the linea...
To handle asymmetric links, FQ-AGO [10] utilizes a fuzzy logic approach and employs the Q-learning algorithm to select the most stable link. MGOR uses a multiple channel to improve routing efficiency and take opportunistic effective one-hop throughput as a new local metric to solve the ...
Q #2) What do Pareto Chart tell you? Answer:Pareto Chart is a visual graph that has a bar graph and line graph. It will divide the chart into a vital few and trivial many with few causes on the left side and more causes in the right side of the chart. Q #3) What are the ben...
Stage One: Policy Learning for Auxiliary Responses 在这个阶段,我们学习优化每个辅助响应的累积奖励的策略。我们使用随机策略的步骤,并假设演员和评论家分别参数化为\pi_{\theta_i}和V_{\phi_i}。在每次迭代中,我们观察由\pi_{\theta_i^{(k)}}收集的样本(s,a,s'),即 ...
49 discusses the application of federated learning (FL) and blockchain technology in IIoT. To lower energy usage and application latency, the study focuses on FL Aware Multi-Objective Modeling in Decentralized Microservices Assisted IIoT Systems. To optimize workload allocation and application delay,...
1. Leader Selection (see Algorithm 2) O(ND), ifQ=∅ O(MKlogK), ifQ≠∅ 2. Research design Research design involves careful study and decision making of various decision parameters. The associated classification and discussion is provided in following subsections. MOCI performance on real-...
A forward (resp. backward) move of a node x, currently sequenced between nodes p and q, between two nodes u and v is defined when lx ≤ lu (resp. lx > lu). The idea of the estimation function consists in considering the newly created paths after the move together with a ...
Left: Example of point setPwith the points of\({{\,\textrm{sky}\,}}(P)\)marked as filled dots; the shaded region has to be empty of points ofP. Right: ifQis the two-point set marked with squares, then the length of the longest arrow is\(\psi (Q,P)\); in the figure this...
Pareto surfaceradiation therapyThere is a strong clinical need to evaluate different multiヽriteria optimization (MCO) algorithms, including inverse optimization sampling algorithms and machine learning‐based predictions. This study aims to develop and compare several interpolated Pareto surface similarity ...