Deep reinforcement learning has swept the world with game playing and Google’s recent AlphaGo victory. Adam Gibson offers a brief overview of deep reinforcement learning on Spark, exploring how to run large-scale training on Spark and the implications on deep reinforcement learning targeting the doom environment. Adam explains how he built a game-playing agent using OpenCV-based frame processing doing large-scale training on Spark and outlines the requirements for training such a network.
Adam Gibson is the CTO and cofounder of Skymind, a deep learning startup focused on enterprise solutions in banking and telco, and the coauthor of Deep Learning: A Practitioner’s Approach.
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