Noise Resilience of Successor and Predecessor Feature Algorithms in One- and Two-Dimensional Environments has been published.

Lee H. Noise Resilience of Successor and Predecessor Feature Algorithms in One- and Two-Dimensional Environments. Sensors. 2025; 25(3):979. https://doi.org/10.3390/s25030979

We compared the ability of SF and PF, reinforcement learning algorithms associated with the hippocampus of the brain, to reliably navigate noisy environments.

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