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
Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11632-x
Abstract: Hierarchical reinforcement learning (HRL) has achieved remarkable success and significant progress in complex and long-term decision-making problems. However, HRL training typically entails substantial computational costs and an enormous number of samples. One effective approach to… read more here.
Keywords: reachability based; hierarchical reinforcement; hrlfd; based reward ... See more keywords
Aberrant effort-based reward dynamics in anhedonia.
Sign Up to like & getrecommendations! Published in 2024 at "Cerebral cortex"
DOI: 10.1093/cercor/bhae193
Abstract: Anhedonia is a transdiagnostic symptom and associated with a spectrum of reward deficits among which the motivational dysfunction is poorly understood. Previous studies have established the abnormal cost-benefit trade-off as a contributor to motivational deficits… read more here.
Keywords: effort based; effort; reward; effort expenditure ... 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