5 citations · 9 across the 4 of their papers we have counts for
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cs.AI2024
Deep reinforcement learning with time-scale invariant memory
Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
The ability to estimate temporal relationships is critical for both animals and artificial agents. Cognitive science and neuroscience provide remarkable insights into behavioral an…
cs.AI2018
Estimating scale-invariant future in continuous time
Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg +1
Natural learners must compute an estimate of future outcomes that follow from a stimulus in continuous time. Widely used reinforcement learning algorithms discretize continuous tim…