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Dynamic stochastic electric vehicle routing with safe reinforcement learning

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Approximated multi-agent fitted Q iteration

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Optimizing high-dimensional stochastic forestry via reinforcement learning

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Are non-fundamental equilibria learnable in models of monetary policy?

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Simulation-Based Optimization : Parametric Optimization Techniques and Reinforcement Learning

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Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving … features are: *An accessible introduction to reinforcement learning and parametric-optimization techniques. *A step …

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Learning for spatial branching : an algorithm selection approach

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Reinforcement learning variants for stochastic dynamic combinatorial optimization problems in transportation

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literature, reinforcement learning (RL) has shown potential to quickly evaluate the reward- and value function of the Bellman …

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Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes

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