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Learning from interaction is a key concept underlying most theories about intelligence. Reinforcement Learning (RL) studies the interactive process that allows us to survive in dynamic environments and has regained interest in recent years due to the emergence of deep architectures that can reach human performance solving complex problems. In this talk we will explore the learning power of RL and discuss how artificial agents can learn to profit in the FinTech sector while attempting to survive.
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