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Researchers propose a physics-informed state space framework combining a differentiable PV conversion model with a selective state space backbone for day-ahead photovoltaic power forecasting.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.14014
#MachineLearning
A longstanding goal for robot reinforcement learning is that robots learn from their own physical experience, as humans and animals do. We study this challenge using the contact-rich task of a bipedal robot learning to score soccer goals.
Source: arXiv cs.RO
https://arxiv.org/abs/2610.14042
#Robotics
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