- Fredrik Lindsten, Thomas B. Schön:
Backward Simulation Methods for Monte Carlo Statistical Inference. 1-143
- Francis R. Bach:
Learning with Submodular Functions: A Convex Optimization Perspective. 145-373
- Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How:
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. 375-451
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