Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it ...

This course introduces deterministic and stochastic dynamic optimization and reinforcement learning. The aims are (i) to motivate the use of dynamic optimization techniques (including reinforcement ...

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This course will provide participants with an introduction to deterministic and stochastic dynamic optimisation as well as to the basics of reinforcement learning. The aims are (i) to motivate the use ...