Reconstructing Pompeian Households

Reconstruction of sequential data with density models

Reduced-Rank Hidden Markov Models

Reducing Commitment to Tasks with Off-Policy Hierarchical Reinforcement Learning

Refinement of Operator-valued Reproducing Kernels

Reflecting on the history of astronomy education research to plan for the future

Reflecting on the History of Astronomy Education Research to Plan for the Future

Regression on fixed-rank positive semidefinite matrices: a Riemannian approach

Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Regret Bound by Variation for Online Convex Optimization

Regret Bounds for Deterministic Gaussian Process Bandits

Regret in Online Combinatorial Optimization

Regularization Techniques for Learning with Matrices

Regularized Maximum Likelihood for Intrinsic Dimension Estimation

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies

Reinforcement learning based sensing policy optimization for energy efficient cognitive radio networks

Reinforcement Learning by Comparing Immediate Reward

Reinforcement Learning for Adaptive Routing

Reinforcement Learning via AIXI Approximation

Reinforcement Learning with Linear Function Approximation and LQ control Converges