Multiobjective Optimization

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Multiobjective Deep Reinforcement Learning for ATM Cash Planning: Why?

The current framework of reinforcement learning is mainly based on a single objective performance optimization, that is maximizing the expected returns based on scalar rewards that come either from univariate environment response or from a weighted aggregation of a multivariate response. If the problem’s environment is complex, with huge states and actions spaces where the …

Multiobjective Reinforcement Learning for Cash Planning: how?

Reinforcement Learning Reinforcement Learning is one of the hottest research topics currently and its popularity is only growing day by day. Reinforcement Learning(RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. The current framework …