This work aims at constructing a bridge between robust control theory and reinforcement learning. Although, learning has shown admirable results in complex tasks, the agent's behavior is opaque. Meanwhile, system several tools for analyzing controlling dynamical systems. article places deep Q-learning into control-oriented perspective to study its dynamics with well-established techniques from ...

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