Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...
We solve a 2D Poisson problem with a 5-point finite-difference stencil and compare Jacobi vs. Gauss–Seidel relaxation. The plots show how the error field u − u_s ...
Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
An online iterative alignment pipeline that generates on-policy data, scores responses with a reward model, constructs preference pairs, and trains with DPO -- closing the distribution gap of offline ...