منابع مشابه
Policy Tree: Adaptive Representation for Policy Gradient
Much of the focus on finding good representations in reinforcement learning has been on learning complex non-linear predictors of value. Policy gradient algorithms, which directly represent the policy, often need fewer parameters to learn good policies. However, they typically employ a fixed parametric representation that may not be sufficient for complex domains. This paper introduces the Poli...
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In this paper we will discuss the design of abstract firewall model along with platform-independent policy definition language. We will also discuss the main design challenges and solutions to these challenges, as well as examine several differences in policy semantics between vendors and how it could be mapped to our platform-independent language. We will also touch upon a processing model, de...
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The finding that the preferences of middle-income Americans are ignored when they diverge from the preferences of the rich is one of the most widely accepted and influential conclusions in political science research today. I offer a cautionary note regarding this conclusion. I demonstrate that even on those issues for which the preferences of the wealthy and those in the middle diverge, policy ...
متن کاملNapping for functional representation of policy
Reinforcement learning aims at learning a policy from interactions with the environment to maximize the long-term reward. In practice, we commonly expect that the policy can be a nonlinear mapping from the state features to the candidate actions, and thus has the ability to fit complex decision situations. Functional representation, by which a function is represented as a combination of basis f...
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ژورنال
عنوان ژورنال: European Journal of Political Research
سال: 1997
ISSN: 0304-4130,1475-6765
DOI: 10.1111/1475-6765.00337