3 papers
physics.comp-ph2026
Acquiring Human-Like Data-Efficient Mechanics Prediction from Deep Reinforcement Learning
Jingruo Peng, Shuze Zhu
Humans can infer mechanical outcomes by learning from a few observations. This capacity for mechanics intuition is acquired in a data-efficient manner. Here, we propose a reinforce…
physics.comp-ph2026
Variational Learning of Physical Intuition from a Few Observations: Charting Manifolds of Variational Physics
Jingruo Peng, Shuze Zhu
Humans often generalize physical outcomes from few observations, a desirable capacity known as physical intuition. We show that it can be computationally approached through chartin…
cs.CE2025
Developing Artificial Mechanics Intuitions from Extremely Small Data
Jingruo Peng, Shuze Zhu
Humans can possess good mechanics intuitions by learning from a few examples, which leads to the question of how to develop artificial mechanics intuitions that can be learned from…