Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
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Updated
Jan 29, 2025 - Python
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Stable dynamical system (motion policy) 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
The Mini Wheelbot is a balancing, reaction wheel unicycle robot designed as a testbed for learning-based control. It is an unstable system with highly nonlinear yaw dynamics, non-holonomic driving, and discrete contact switches in a small, powerful, and rugged form factor.
Welcome to the website of Human-Interactive Robotics Lab @ IISc Bengaluru
Lyapunov-based neural network control with input saturation constraints
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