PhD Thesis: Bayesian Learning for Control in Multimodal Dynamical Systems
Mode remaining navigation (and exploration) in unknown multimodal dynamical systems via model-based reinforcement learning.
Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation
In this talk I will present our ICRA 2021 paper "Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation".
Aidan Scannell
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1 min read
GPJax - Gaussian Processes in Jax
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
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1 min read
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Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation
Synergising Bayesian inference and Riemannian geometry for control in multimodal dynamical systems.
Synergising Bayesian Inference and Probabilistic Geometries for Robotic Control
Aidan Scannell
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1 min read
Trajectory Optimisation in Learned Multimodal Dynamical Systems
This work presents a two-stage method to perform trajectory optimisation in multimodal dynamical systems with unknown nonlinear stochastic transition dynamics. The method finds …