Tag: reinforcement learning

ScientificML

Investigates how load information quality affects power grid control using a DC power flow model and Grid2Op-inspired simulator, exploring data assimilation combined with reinforcement learning strategies.

Multibody

A survey on embedding physics priors in robot learning, covering how physical constraints like contact mechanics, rigid-flexible coupling, and multibody dynamics improve sample efficiency and reliability of learned policies.

Multibody

CHOREO enables training-free composition of heterogeneous humanoid skills learned via reinforcement learning, motion imitation, and generative modeling, bridging incompatible representations, interfaces, and controllers through unified trajectories.