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Pragmatic Reinforcement Learning: Algorithms and Applications

Introduction

1. Discrete-Time Trajectory Optimization
5. Continuous-Time Trajectory Optimization
7. From Trajectories to Policies
11. Dynamic Programming
13. Approximate Dynamic Programming
19. Policy Parametrization Methods
25. Bibliography

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By Pierre-Luc Bacon

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