Mind the Sim-to-Real Gap: Scientific Method Framework for Bridging Simulation to Reality

arXiv·low signal

Paper formalizes the sim-to-real transfer problem for sequential decision-making, proposing a scientific-method-inspired framework for combining pre-trained simulators with limited real-world experiments. Relevant for robotics and reinforcement learning practitioners dealing with simulation-reality mismatches — the framework provides a principled approach rather than ad-hoc domain randomization.