The paper proposes a distributed Pareto reinforcement learning (DPRL) based on game theory to address the multi-objective control problem (MOCP) of SGC of multi-area interconnected power systems (MAIPSs). The proposed DPRL consists of the framework of reinforcement learning and multiple Q matrices,...
Publication Multi-objective reinforcement learning (MORL) has been proposed to learn control policies over multiple competing objectives with each possible preference over returns. However, current MORL algorithms fail to account for distributional preferences over the multi-variate returns...
参考资料 Liu, X., Ye, K., van Vlijmen, H.W.T. et al. DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology. J Cheminform 13, 85 (2021). https://doi.org/10.1186/s13321-021-00561-9 代码链接: https://github.com/Xuhan...
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^Schulz, Adriana, et al. "Interactive exploration of design trade-offs." ACM Transactions on Graphics (TOG) 37.4 (2018): 1-14. ^Xu, Jie, et al. "Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control." International Conference on Machine Learning. 2020....
As a generalization of standard reinforcement learning approaches, multi-objective reinforcement learning addresses the demand for trade-offs between competing objectives. Instead of using single policy techniques, which involve various ...
applied sciences Article Network Defense Strategy Selection with Reinforcement Learning and Pareto Optimization Yang Sun 1,*, Wei Xiong 1, Zhonghua Yao 1, Krishna Moniz 2 and Ahmed Zahir 2 1 Science and Technology on Complex Electronic System Simulation Laboratory, Equipment Academy, Beijing 101416, ...
Reinforcement Learning Safety, Ethics, & Compliance Training Data Labelling Engine Annotation Model Evaluation Domain Specific Training Other When do you want to get started? ASAPIn 2 weeks BackNext If you're interested in working as an AI Trainer, please apply to join ourAI projects community....
[11] BOADAM,BOADAB,QUESADAA,etal.Activerollcontrol usingreinforcementlearningforasingleunitheavyvehicle[J]. InternationalJournalofHeavyVehicleSystems,2009,16(4): 412-430. [12] 靳立强,石冠男,于雅静,等.基于零力矩点位置和模糊控制的 商用车防侧翻控制[J].汽车工程,2017,39(9):1062-1067. [13] JI...
Multi-objective reinforcement learning using sets of pareto ... KV Moffaert,A Nowé - 《J.mach.learn.res》 被引量: 0发表: 2014年 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies (2014). Multi-objective reinforcement learning using sets of pareto dominating policies...