2 papers
cs.LG2025
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
Niteesh Midlagajni, Constantin A. Rothkopf
Simulating particle dynamics with high fidelity is crucial for solving real-world interaction and control tasks involving liquids in design, graphics, and robotics. Recently, data-…
cs.LG2025
Inverse decision-making using neural amortized Bayesian actors
Dominik Straub, Tobias F. Niehues, Jan Peters +1
Bayesian observer and actor models have provided normative explanations for many behavioral phenomena in perception, sensorimotor control, and other areas of cognitive science and…