Aidan Scannell

Deep reinforcement learning · Bayesian neural networks · Bayesian deep learning · Laplace approximation · World models · Representation learning · Gaussian processes · Variational inference · Model-based reinforcement learning · Robot learning · Mixture models · Probabilistic inference · Optimal control · Control as inference · Riemannian geometry · Reinforcement learning