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Kernel-Based Reinforcement Learning
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Variable Resolution Discretization in Optimal Control
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Prior knowledge and preferential structures in gradient descent learning algorithms
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Lyapunov design for safe reinforcement learning
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Performance Loss Bounds for Approximate Value Iteration with State Aggregation
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