Sandeep Goel

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Reinforcement learning addresses the problem of learning to select actions in order to maximize an agent's performance in unknown environments. To scale reinforcement learning to complex real-world tasks, agent must be able to discover hierarchical structures within their learning and control systems. This paper presents a method by which a reinforcement(More)
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