2 papers
cs.AI2026
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling
Sen Cui, Jingheng Ma
World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and model-based reinforcement learning. However, current world…
cs.IT2024
Linear Complementary Dual Codes Constructed from Reinforcement Learning
Yansheng Wu, Jin Ma, Shandong Yang
Recently, Linear Complementary Dual (LCD) codes have garnered substantial interest within coding theory research due to their diverse applications and favorable attributes. This pa…