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magic-physics-illusions
Public- Quasimetric Reinforcement Learning (QRL) is a goal reaching RL method via learning a Quasimetrics function. This project aims to probe properties of learned latent spaces, which has a Quasimetrics geometry by manipulating the existing implementation of QRL and run it on grid-world-like environments to analyze the behaviour on other environments.
INSR-hybrid
Publicsampling-surfaces
Publicsharp-quadratic-surface
Publicintrinsic_mollification
PublicThis project delves into an ingenious approach to ensure favorable triangle shapes in meshes without altering connectivity or employing complex data structures. By incorporating intrinsic mollification, the research showcases how this technique enhances the resilience of mesh processing algorithms, optimizing triangle quality.Invivo-Exvivo-2023
Publiclinkages
Publicsurface-characterization
Public