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  • title: Reinforcement Learning: Past, Present, and Future Perspectives
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            Reinforcement Learning: Past, Present, and Future Perspectives
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            Reinforcement Learning: Past, Present, and Future Perspectives

            Dec 9, 2019

            Speakers

            KH
            KH

            Katja Hofmann

            Speaker · 21 followers

            About

            Reinforcement learning (RL) is a systematic approach to learning and decision making. Developed and studied for decades, recent combinations of RL with modern deep learning have led to impressive demonstrations of the capabilities of today's RL systems, and have fuelled an explosion of interest and research activity. Join this tutorial to learn about the foundations of RL - elegant ideas that give rise to agents that can learn extremely complex behaviors in a wide range of settings. Broadening o…

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            NIPS 2019

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            AI & Data Science

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            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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