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The Bayesian Backfitting Relevance Vector Machine
(ACM Press, 2004-07)
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art Bayesian algorithms which, however, ...
Reinforcement Learning for Humanoid Robots - Policy Gradients and Beyond
Reinforcement learning offers one of the most general frameworks to take traditional robotics towards true autonomy and versatility. However, applying reinforcement learning to high dimensional movement systems like ...