FTML 2013

4 papers

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How

Backward Simulation Methods for Monte Carlo Statistical Inference Fredrik Lindsten, Thomas B. Schön

Learning with Submodular Functions: A Convex Optimization Perspective Francis R. Bach

Metric Learning: A Survey Brian Kulis