Continuous delayed-memory stochastic gradient descent and continuous-time reinforcement learning from history of astrophysical time series studies
Read the original at arxiv.org→arXiv:2609.20906v1 Announce Type: new Abstract: Quasars are luminous objects in the universe that exhibit stochastic brightness variations encoding information about the supermassive black holes powering them, and...
Original headline: "Continuous Delayed-Memory Stochastic Gradient Descent and Continuous-Time Reinforcement Learning from History of Astrophysical Time Series Studies"
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- Sep 21, 04:00 UTC arXiv cs.LG lead source Continuous Delayed-Memory Stochastic Gradient Descent and Continuous-Time Reinforcement Learning from History of Astrophysical Time Series Studies