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- W18501828 abstract "The issue of controlling the ratio of exploration and exploitation in agent learning in dynamic environments provides a continuing challenge in the application of agent learning techniques. Methods to control this ratio in a manner that mimics human behavior are required for use in the representation of human behavior, which seek to constrain agent learning mechanisms in a manner similar to that observed in human cognition. This paper describes the use of two novel methods for adjusting the exploration and exploitation ratio of agents using a simple grid-world example and two armed bandit example." @default.
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- W18501828 date "2011-04-03" @default.
- W18501828 modified "2023-09-24" @default.
- W18501828 title "Balancing exploration and exploitation ratio in reinforcement learning" @default.
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- W18501828 doi "https://doi.org/10.5555/2048558.2048576" @default.
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