Policy Gradient for Ratio Optimization: A Case Study

2022 56th Annual Conference on Information Sciences and Systems (CISS)(2022)

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摘要
We consider policy gradient methods for ratio optimization problems by way of an illustrative case study: maximizing the Omega ratio of a financial portfolio. We propose a general framework for ratio optimization in sequential decision-making problems, explore the notion of hidden quasiconcavity in such problems, and propose an actor-critic algorithm for the Omega ratio problem. Our central contri...
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关键词
Gradient methods,Decision making,Programming,Optimization,Portfolios,Convergence
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