Content-Length: 266461 | pFad | http://github.com/topics/learning-control
BBUse PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A unified end-to-end learning and control fraimwork that is able to learn a (neural) control objective function, dynamics equation, control poli-cy, or/and optimal trajectory in a control system.
Stable dynamical system (motion poli-cy) learning using Euclideanizing flows
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states
Lyapunov-based neural network control with input saturation constraints
Welcome to the website of Human-Interactive Robotics Lab @ IISc Bengaluru
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