Michal Valko

Forget reinforcement learning – this algorithm learns in real-time without *any* explicit feedback.

Bayesian policy gradients slash sample complexity in RL by modeling the policy gradient as a Gaussian process, offering faster convergence and gradient uncertainty estimates.

Unlock 25% better face recognition from a single labeled image by leveraging readily available unlabeled data streams.