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Constrained Stein Variational Trajectory Optimization
We present Constrained Stein Variational Trajectory Optimization (CSVTO), an algorithm for performing trajectory optimization with constraints on a set of trajectories in parallel.
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
We propose a Model Predictive Control (MPC) method for collision-free navigation that uses amortized variational inference to approximate the distribution of optimal control sequences by training a normalizing flow conditioned on the start, goal and environment.
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models
We use these images to train a perception model that estimates the simple model state from observations of the complex system online.
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