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Practical Reinforcement Learning: From Algorithms to Applications
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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
27. Bibliography
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Index