Multiagent reinforcement learning for strictly constrained tasks based on Reward Recorder
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22945
Abstract: Multiagent reinforcement learning (MARL) has been widely applied in engineering problems. However, many strictly constrained problems such as distributed optimization in engineering applications are still a great challenge to MARL. Especially for strict global constraints… read more here.
Keywords: reinforcement learning; reinforcement; strictly constrained; reward recorder ... See more keywords
Meritocracy at Work?: Merit-Based Reward Systems and Gender Wage Inequality
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DOI: 10.1093/sf/soab083
Abstract: It is widely believed that meritocratic employment practices reduce gender inequality by limiting managers’ reliance on nonmerit factors, such as biases. An emerging stream of research, however, questions the belief, arguing that meritocratic practices often… read more here.
Keywords: inequality; based reward; merit based; meritocracy ... See more keywords
Learning Potential in Subgoal-Based Reward Shaping
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DOI: 10.1109/access.2023.3246267
Abstract: Human knowledge can reduce the number of iterations required to learn in reinforcement learning. Though the most common approach uses trajectories, it is difficult to acquire them in certain domains. Subgoals, which are intermediate states,… read more here.
Keywords: based reward; reward shaping; learned potential; subgoal based ... See more keywords
An Effort-Based Reward Approach for Allocating Load Shedding Amount in Networked Microgrids Using Multiagent System
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2929284
Abstract: An effort-based reward approach is proposed in this article for the allocation of load shedding amount in interconnected microgrids. In this article, effort is defined as the relative contribution of a microgrid to the network… read more here.
Keywords: effort; based reward; effort based; reward approach ... See more keywords