2 papers
cs.CL2026
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
Deyao Zhu, Xin Zhou, Shengling Qin +44
Pretraining scaling laws reveal that model capability improves predictably with data and compute. But learning from real world environments after deployment remains far less unders…
quant-ph2026
End-to-End Learning of Quantum Control on Latent Dynamical Manifold
Jun-Dong Zhong, Zong-Yuan Ge, Feng-Hua Ren +1
Traditional quantum control relies on an iterative "simulate-then-optimize" paradigm, where dynamics simulation and control design are decoupled, leading to substantial computation…