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- W85698082 abstract "The road sign problem is tackled in this work with Reservoir Computing (RC) networks. These networks are made of a fixed recurrent neural network where only a readout layer is trained. In the road sign problem, an agent has to decide at some point in time which action to take given relevant information gathered in the past. We show that RC can handle simple and complex T-maze tasks (which are a subdomain of the road sign problem). Keywords— Reservoir Computing, road sign problem, T-maze, long-term memory." @default.
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- W85698082 date "2016-04-14" @default.
- W85698082 modified "2023-10-18" @default.
- W85698082 title "Experiments With Reservoir Computing On The Road Sign Problem" @default.
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- W85698082 doi "https://doi.org/10.21528/cbrn2007-047" @default.
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